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Senior Data Architect Job Description: 15+ yrs of experience is Must Manage Cloud Journey for Business and Central Reference data process on Enterprise cloud platform. 2. Lead enterprise data architecture and data warehousing (DW) strategy, designing scalable data models, database structures, and high-performance data engineering solutions., 3. Lead cloud Engineering and Data integration programs, focused on deploying business solutions for Banking domain. Implement right data strategy for Business Analytics., 4. Leading planning of data management and Analytics proposals , craft key value propositions for business and oversee the delivery of the same., 5. Building solution architecture for business flows implementation for cloud journey through collaboration with CTO,CSO and CDA, 6. Drive end-to-end data engineering along with handson experience and DevOps (GitLab/CI-CD) practices, building automated and scalable data pipelines on AWS., 7. Implement data governance frameworks, risk controls, and secure coding practices to ensure compliance, data quality, and integrity., 8. Enable advanced analytics, data mining, and ML/MLOps capabilities, supporting data-driven decision-making and digital transformation., 9. Translate business requirements into data solutions with strong strategic thinking, business acumen, and cross-functional collaboration, while leading change and transformation initiatives. Call Me@813-680-1189 Note - this is not data engineering Position

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow, Kubeflow, or Azure Machine Learning).

This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of.CI/CD automation, Kubernetes, and security.This role requires hands‑on experience designing, building, and operating.DevOps and enterprise‑grade MLOps platforms.ML lifecycle (training, validation,

Logic20/20 is seeking a Senior MLOps Engineer to support data science teams utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. MLOps), data, and/or software engineer using Python in a production environment. Strong experience wit

About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Software Engineer 3 to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll be part of the team owning the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products. Responsibilities • Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Contribute to the system architecture's design and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Support the high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards Requirements • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of delivering scalable systems in production environments., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders. Preferred: • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Job duties, activities, and responsibilities are subject to change by our company. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $129,000 - $152,000, • TTC: $142,000 - $168,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (___. All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

We are seeking an experienced NetSuite Developer with a strong background in AI-driven solution development, warehouse management systems (WMS), and retail or B2C e-commerce environments. This role is ideal for a developer who can bridge business needs with technical innovation—leveraging AI technologies to automate processes, enhance decision-making, and integrate advanced applications directly into NetSuite. You will play a key role in designing, building, and maintaining custom NetSuite applications and integrations that incorporate AI/ML models, third-party AI tools, and intelligent process automation. This position requires hands-on technical expertise, a problem-solving mindset, and the ability to work cross-functionally with operations, fulfillment, customer experience, and e‑commerce teams. Key Responsibilities NetSuite Development & Customization • Design, build, and maintain custom NetSuite scripts (SuiteScript 1.0/2.0/2.1), workflows, SuiteTalk integrations, SuiteBuilder customizations, and saved searches., • Develop and optimize integrations between NetSuite and external AI services, WMS platforms, and e-commerce systems., • Enhance system performance, reliability, and scalability across modules including Order Management, Inventory, Fulfillment, and Finance., • Collaborate with data teams to structure and utilize data for machine learning and predictive analytics. Warehouse Management Systems (WMS) • Build and maintain integrations between NetSuite and WMS systems including RF-SMART., • Support real-time inventory syncing, pick/pack/ship workflows, and warehouse automation initiatives., • Troubleshoot performance issues and streamline warehouse operations through technology. E-Commerce / B2C Environment Support • Work with marketing, merchandising, and e-commerce teams to improve order flow, product data syncs, promotional logic, and customer experience., • Support integrations with Shopify, Magento, Liftoff, or custom storefronts., • Optimize high-volume transaction processing and customer workflows. AI, Machine Learning & Intelligent Automation • Design and integrate AI/ML models into NetSuite workflows, using:, • Generative AI (GPT models or similar) for summarization, recommendations, and workflow automation., • Predictive analytics for demand forecasting, inventory optimization, and fulfillment routing., • NLP (Natural Language Processing) for automated extraction, classification, and document interpretation., • RPA (Robotic Process Automation) and intelligent process automation to eliminate manual tasks., • Build integrations with AI APIs using RESTful interfaces, webhooks, and middleware platforms (Celigo, Boomi, Workato, Mulesoft)., • Collaborate with data teams to prepare structured datasets for machine learning training, validation, and production deployment., • Implement monitoring, logging, and quality controls for AI-enabled solutions. Technical Leadership • Ensure best practices in coding, documentation, version control, and system security., • Translate business requirements into technical specifications for scalable, future-proof solutions., • Lead code reviews and provide guidance to junior developers or cross-functional partners. Required Qualifications • 5+ years of professional NetSuite development experience, including SuiteScript and SuiteTalk., • Experience designing and implementing AI-based solutions (e.g., OpenAI, Azure Cognitive Services, Google Vertex AI, custom ML models)., • Strong background in WMS platforms and warehouse process integrations., • Expertise in e-commerce or B2C/retail systems, including order management and fulfillment workflows., • Proficiency with REST/SOAP APIs, JSON, JavaScript, and modern integration frameworks (e.g., Celigo, Boomi, Workato)., • Solid understanding of inventory, supply chain operations, and omnichannel retail., • Ability to work with cross-functional teams in a fast-paced environment. Preferred Qualifications • Experience with Shopify, Magento, BigCommerce, or similar platforms., • Knowledge of data engineering or MLOps fundamentals., • Familiarity with NetSuite WMS, Smart Count, or third-party WMS add-ons., • Background in process automation, RPA, or workflow optimization., • Certification: NetSuite SuiteFoundation, SuiteCloud Developer, or AI-related credentials. Benefits & Perks: • Medical, dental and vision insurance, • Paid time off, • 401(k) with matching, • Cool swag! Boundless is Your Merch Media Agency®, where creative ideas meet results-driven execution. As an industry-leading branded merchandise agency, we fuse agency-level creative with enterprise-level solutions to craft unforgettable merch experiences that ignite Brand Love™. Our team brings strategy, storytelling, and design to life through product—and we don’t just follow trends, we spark them. Whether we’re building ecommerce ecosystems, launching viral gifting campaigns, or decoding brand archetypes through our BrandEQ™ methodology, we do it with style, strategy and soul. Join the team that’s rewriting the playbook on branded merch—and having a damn good time doing it. Boundless has been recognized in: • 2025 PPAI Best Places to Work, • Top 20 ASI and PPAI Distributor At Boundless we welcome all applicants regardless of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, pregnancy status, veteran status, or any other differences.

About GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. We are seeking a highly skilled Senior Full-Stack Software Engineer to bring technical excellence, initiative and leadership to our team. As a Senior Engineer, you’ll be a key contributor to the design, development, and scaling of our platform, working closely with product managers, designers, and fellow engineers to build solutions that are secure, reliable, and performance-optimized. You’ll work across the stack, you’ll lead initiatives from concept to delivery. This is a full-stack position with a strong emphasis on frontend development and close collaboration with the Product team. You’ll take the lead on major initiatives—planning features, defining MVPs, breaking projects into actionable phases, and helping to remove blockers for the team. This is an exciting opportunity for someone who thrives in a fast-paced environment and is motivated to take ownership of high-impact work within a growing company. * Lead the design and development of scalable, secure applications across the stack—spanning modern React UIs to high-performance backend services. * Design and build architecture that supports AI/ML-powered features across user-facing and API surfaces. * Drive initiatives end-to-end—from ideation and planning to execution—by breaking down complex projects into MVPs and manageable, prioritized releases. * Collaborate with product and engineering leaders to align solutions with business objectives. * Ensure compliance with security best practices and data privacy regulations. * Mentor mid-level and junior engineers, fostering a culture of growth, learning, and technical excellence. * Evaluate and implement new technologies and tools to continuously improve our applications and development processes. * Communicate clearly, engage with stakeholders, product managers and cross-functional teams to align on goals, share progress and manage expectations. * 5+ years of full-stack software development experience using Node.js, React, TypeScript, and REST APIs, with experience in state management (Redux, XState, Nanostores a plus), preferably with at least 1+ year working with AI/ML solutions or LLM. * Familiar with implementing and maintaining CI/CD pipelines to streamline development, testing, and deployment processes. * Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools. * Deep understanding of architecture and best practices, including RESTful APIs, databases, secure coding, and responsive design. * Experienced with AWS architecture, including Lambda, ECS, S3, DynamoDB and Step Functions. * Familiarity with designing and developing application layers that interface with large language models (LLMs) or machine learning (ML) systems. * Experience building and integrating LLM features (e.g., via OpenAI, Claude, Vertex AI, or similar), including prompt design, vector storage, and retrieval strategies. * Build tools and services to help other team members experiment and ship AI-enhanced features responsibly and efficiently. * Excellent communication skills with the ability to influence technical direction and collaborate effectively across product and engineering teams.

About the role: Connected Asset Maintenance (CAM) is one of Samsara’s fastest-growing software bets: a brand-new product area focused on transforming asset and fleet maintenance from reactive, paper-based workflows into AI-driven, predictive maintenance programs. We’re building a modern platform that uses rich IoT and telematics data, intuitive interfaces, and centralized workflows to help customers reduce downtime, extend asset life, and run more efficient operations. We are seeking a Staff Software Engineer to serve as a technical anchor for CAM. In this role, you will lead the design and evolution of our predictive maintenance platform, partnering closely with product, data science/ML, design, and customers to build and scale high-impact capabilities for our customers. You’ll be responsible for shaping the architecture for ML-powered features — from time-series modeling and data pipelines to APIs and customer-facing workflows — and for raising the engineering bar across the team. This role is remote and open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely., • You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations., • You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go., • You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes., • You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together. In this role, you will: • Define and drive the technical strategy for CAM’s predictive maintenance platform, including architecture for data ingestion, feature engineering, model serving, and customer-facing workflows., • Lead the design and implementation of new predictive models and data products, working closely with ML/data partners to move from proof-of-concept to robust, monitored, and continuously improving production systems., • Own and evolve large-scale, distributed systems that process high-volume time-series and event data from Samsara devices and third-party sources, ensuring reliability, performance, and cost efficiency as we grow., • Collaborate across the stack (backend, web, and potentially mobile) to deliver end-to-end features—APIs, data models, business logic, and intuitive UI flows—that bring predictive insights into day-to-day maintenance workflows., • Partner with product, design, and customer-facing teams to define the roadmap, translate ambiguous business problems into clear technical projects, and measure the impact of what we ship (e.g., reduced breakdowns, fewer emergency repairs, improved shop throughput)., • Mentor and multiply other engineers on the team through code reviews, design reviews, technical coaching, and by setting high standards for quality, reliability, and velocity. Minimum requirements for the role: • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience., • 8+ years of experience in software design and development, including building and operating production systems at scale., • 3+ years building data-intensive or ML-backed products, such as forecasting systems, anomaly detection, recommendation systems, or other high-complexity predictive models (e.g., in fintech, health, reliability, or similar domains)., • Strong programming fundamentals and deep proficiency in Python for backend and data/ML-related services., • Experience designing and operating distributed systems or large-scale microservices (e.g., event-driven architectures, time-series storage, streaming or batch data pipelines)., • Demonstrated experience leading cross-team or cross-org projects from inception through rollout, including managing ambiguity, driving alignment, and delivering measurable business impact., • Strong communication skills and the ability to translate between technical and non-technical stakeholders, especially when discussing trade-offs around reliability, performance, and model accuracy. Proven ability to "sit with the customer" to deeply understand operational pain points, translating vague real-world maintenance challenges into high-impact technical requirements and intuitive AI-driven products. An ideal candidate also has: • Master’s degree in Computer Science + Artificial Intelligence., • Expertise with time-series data and forecasting techniques, including feature engineering, evaluation, and productionization for predictive maintenance or similar use cases., • Hands-on experience with MLOps practices and tooling (e.g., model deployment, monitoring, versioning, experimentation platforms) in partnership with data/ML teams., • Experience with full-stack development using technologies such as Go, TypeScript/JavaScript, React, GraphQL, or similar modern stacks in large-scale SaaS applications., • Background working with industrial, fleet, or equipment data (e.g., telematics, fault codes, work orders, inspections) and an interest in learning the maintenance domain in depth., • Proven track record of mentoring senior engineers and influencing engineering culture, standards, and best practices beyond a single team.

About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products. Responsibilities • Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Lead technical design reviews and system decomposition efforts across teams., • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards, • Contribute to the necessary technical documentation required for regulatory submissions. Requirements • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of architecting and delivering scalable systems in production environments., • Experience mentoring engineers and raising the technical bar through reviews and design feedback., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders. Preferred: • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Job duties, activities, and responsibilities are subject to change by our company. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $153,000 - $179,000, • TTC: $176,000 - $206,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (___. All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Agentic AI Engineer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before. We are seeking a creative and proven Agentic AI Engineer to join our dynamic team and play a crucial role in unlocking the potential of our AI models. Someone who knows how to make AI systems that do more than just generate text — they make them take action. This role focuses on building intelligent, tool-using agents that can navigate complex technical environments, identify problems, and reason about remediation paths. You will be part of a small, high-caliber team solving hard problems at the intersection of machine learning, systems, and national security. At Whitespace, we are redefining national security by pushing the limits of what is possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats. If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you! This position is 100% remote for candidates that are not located within fifty miles of the corporate office. This role requires approximately 10% travel. Remote employees will be required to travel to the corporate office in Alexandria, VA at least twice a year. This position will report directly to the Product Manager. The candidate must be a U.S. citizen and reside in the contiguous United States. You will be a W-2 employee of GeoDelphi, Inc., and we do not accept third-party applications. RESPONSIBILITIES • Architect, develop, and deploy advanced autonomous AI agents tailored for cybersecurity applications., • Define and implement intelligent agent systems capable of real-time decision-making and adaptive threat responses., • Collaborate cross-functionally with product managers, engineers, and analysts to translate innovative concepts into robust solutions., • Mentor and guide engineering teams on best practices in developing agent-based AI solutions., • Continuously evaluate, test, and enhance the capabilities and performance of agentic systems within Whitespace’s ecosystem., • Drive technical excellence and promote engineering best practices within the AI team. EXPERIENCE • A bachelor's or master’s degree in Computer Science, AI, Machine Learning, or a related field with at least 5 years of related experience. Will consider experience in lieu of a degree., • Strong proficiency in Python, with experience in relevant libraries, frameworks, and technologies such as FastAPI, asyncio, and PyTorch., • Proven experience developing in Python and deploying robust AI/ML solutions, with specific expertise in autonomous agents., • Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into practical agentic systems., • Demonstrated ability to design scalable, distributed systems and cloud-native architectures., • Extensive experience in prompt engineering and fine tuning LLM models, • Ability to design and implement agentic frameworks and architectures., • Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.), • Familiarity with MLOps principles and tools for model deployment and monitoring, • Understanding of the security implications and mitigation strategies for generative AI and agentic systems., • Excellent collaboration, mentorship, and communication skills, enabling you to collaborate effectively with distributed teams., • Familiarity with Cloud Computing Platforms, • Medical, Dental, and Vision plans, • Unlimited PTO, • Federal Holiday Paid Leave, • 12 weeks of paid Parental Leave, • Employer paid STD/LTD, • Employer Paid Life Insurance, • 401K plan and Employer Match, • Professional Development Assistance GeoDelphi, Inc. dba Whitespace is building AI solutions for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: ___. GeoDelphi, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.

Location Our Senior Cloud Architect, ML/AI will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal. About DoiT DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity As a Senior Cloud Architect, ML/AI, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. Depending on business needs, this role may be aligned to either Field Engineering (pre-sales + GTM) or FDE Delivery (install base, product adoption, customer health), with a common technical bar and shared expectations. You will: • Lead the design and implementation of production-grade ML and Generative AI solutions on AWS (with awareness of multi-cloud environments)., • Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale, from initial discovery through deployment and optimization., • Translate complex business problems into cloud architectures that are secure, reliable, cost-efficient, and observable., • Help evolve how DoiT uses AI/ML internally and with customers by turning one-off solutions into reusable patterns and “gravel roads” that influence the product roadmap. For Field Engineering, you will focus more on pre-sales, POVs, CloudBuild engagements, and partner-led growth motions. For Delivery, you will focus more on install base health, product adoption, proactive engagements, and account-team work. • Lead discovery, architecture, and implementation for advanced ML and Generative AI workloads on AWS, including data, training, inference, and integration layers., • Own the technical success of your engagements: clearly define outcomes, make tradeoffs visible, and ensure designs are production-ready (security, reliability, performance, cost)., • Provide opinionated guidance on GenAI architectures (e.g., Amazon Bedrock, SageMaker, Q) and how they integrate with customers’ existing systems and processes. For Field Engineering: • Partner with Account Executives, Solution Engineers, and Growth FDEs to shape and win opportunities across all four GTM pillars in-region (product adoption, new logo acquisition, install base expansion, partner-led growth)., • Serve as technical lead for extended POVs and CloudBuild engagements focused on AI/ML and GenAI, demonstrating clear value and de-risking customer adoption., • Build compelling technical narratives and demos that support revenue-generating motions, including co-sell initiatives with CSP partners. For Delivery: • Act as a named technical advisor for a portfolio of existing customers, working within account teams (Account Manager, CSM, FDE) to improve install base health and outcomes for AI/ML and GenAI workloads., • Lead proactive “Get FDE”–style engagements where AI/ML expertise is needed to unblock customers, reduce risk, or improve the impact of DoiT Cloud Intelligence., • Participate in structured account-team routines (e.g., objective setting, quarterly environment reviews) to keep AI/ML architectures aligned with customer goals and product adoption opportunities., • Recommend and implement AI/ML-related capabilities in DoiT Cloud Intelligence (e.g., CloudFlow, Insights, DataHub) as part of your customer engagements., • Document and measure the business and technical impact of your work, tying AI/ML initiatives to clear customer outcomes (cost, performance, reliability, productivity). For Field Engineering: • Design and run service-led product adoption plays that use AI/ML and GenAI projects to drive deeper adoption of DoiT’s platforms, in partnership with Growth leadership., • Ensure AI/ML-focused CloudBuild and POV engagements include mandatory product adoption playbooks, with clear activation and follow-up criteria. For Delivery: • Execute against delivery programs and automations that detect product struggles (e.g., customers failing to complete AI/ML workflows, incomplete CloudFlow pipelines) and turn those into targeted AI/ML advisory engagements., • Use every relevant delivery touchpoint to recommend and operationalize product adoption (e.g., Insights, automation, FinOps/CloudOps workflows) in collaboration with account teams., • Maintain a high personal bar for delivery quality: clear scopes, realistic plans, strong communication, and crisp technical documentation., • Capture repeatable AI/ML patterns, reference architectures, and runbooks that other engineers can apply across customers. For Field Engineering: • Identify and validate “gravel road” solutions—custom AI/ML or GenAI integrations and patterns that should be elevated into standard offerings or product features., • Work with Product, R&D, and growth leaders to submit and champion these patterns into the roadmap, connecting field innovation to scalable packages and revenue engines. For Delivery: • Contribute to the FDE Delivery vision by turning recurring AI/ML implementation work into structured “gravel roads” (e.g., reusable CloudFlow patterns, Insights definitions, data pipelines) that can be productized., • Collaborate with FDE advocates and product teams to ensure field-built AI/ML solutions are vetted, documented, and, when appropriate, handed off for productization., • Collaborate closely with Sales, Customer Success, Product, and Business Systems Engineering to ensure AI/ML work is visible, repeatable, and connected to company priorities., • Communicate clearly with both technical and non-technical stakeholders, setting expectations and making risks and tradeoffs explicit. For Field Engineering: • Work with cloud partner teams (especially AWS) to align AI/ML initiatives to program funding, strategic bets, and co-sell motions—without compromising customer outcomes., • Provide technical leadership for partner-led opportunities involving GenAI and ML on AWS, ensuring DoiT’s value and DoiT Cloud Intelligence are central to the solution. For Delivery: • Coordinate with Account Managers, CSMs, TAMs, and other FDEs to ensure AI/ML engagements are sequenced correctly within broader account plans and install-base priorities., • Feed structured, field-derived feedback on product adoption barriers (especially for AI/ML capabilities) into Delivery leadership and product teams., • Use and maintain the systems, templates, and workflows that support planning, observability, and quality across Customer Experience (e.g., JIRA, documentation standards, dashboards)., • Contribute to internal enablement: teach other Doers about new AI/ML capabilities, share patterns, and help raise the bar globally for ML/AI expertise. For Field Engineering: • Ensure your AI/ML work is accurately reflected in pipelines, opportunities, and CloudBuild portfolios, enabling reliable reporting on technical win rates and influence on ARR., • Help improve forecast quality and POV coverage for AI/ML-related opportunities by maintaining good hygiene in the relevant systems. For Delivery: • Ensure AI/ML delivery engagements are logged, measured, and observable in the tools used for install-base health and product adoption tracking., • Participate in Delivery operating rhythms (e.g., team reviews, program updates) with clear, data-backed updates on your AI/ML work and impact., • Success metrics and specific objectives for this role will be defined and updated on an annual and quarterly basis through the company planning cycle, pod charters, Weekly Operating Review (WOR) scorecards, and relevant regional/functional scorecards., • As a Senior Cloud Architect, you are expected to:, • Understand the metrics and objectives that apply to your function (Field Engineering or FDE Delivery) and region., • Transparently report progress against those metrics., • Proactively propose and execute corrective actions when off track., • Experience, • 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions, including production workloads., • Proven track record designing and operating large, distributed systems on AWS, selecting appropriate services and patterns to meet business and technical goals., • AWS & GenAI / ML Expertise, • Advanced proficiency with AWS services relevant to AI/ML and GenAI., • Hands-on experience with Amazon Bedrock for deploying and scaling foundation models and Generative AI workloads., • Experience fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker (including JumpStart)., • Strong prompt engineering skills and familiarity with rigorous model evaluation (quality, safety, performance)., • Understanding of agentic capabilities and patterns for AI agents that autonomously perform tasks and integrate with existing systems., • Experience with Amazon Q Business and Amazon Q Developer (or similar tools) to accelerate insight generation and development workflows., • ML Pipelines, Data & MLOps, • In-depth knowledge of Amazon SageMaker components such as Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability., • Proficiency integrating TensorFlow, PyTorch, and other ML frameworks with SageMaker for model development, fine-tuning, and deployment., • Experience with distributed training (multi-GPU or multi-node) and performance optimization for inference., • Strong data-engineering skills on AWS: Amazon S3, AWS Glue, Lake Formation, Redshift for AI/ML data pipelines., • Experience building end-to-end AI/ML workflows using services like AWS Lambda, Step Functions, API Gateway, and containerized deployments on Amazon EKS / AWS Fargate., • DevOps, MLOps, Governance & Security, • Hands-on experience with CI/CD for AI/ML using AWS CodePipeline, CodeBuild, SageMaker Pipelines, or similar., • Proficiency in monitoring and operating AI systems using Amazon CloudWatch and SageMaker Model Monitor., • Strong understanding of AI governance, security, and compliance on AWS, including IAM, KMS, and data privacy patterns., • Familiarity with AI ethics and bias detection/mitigation (e.g., using SageMaker Clarify or similar tools)., • Multi-Cloud Awareness & Collaboration, • Working knowledge of Google Cloud AI tools (e.g., Vertex AI, Cloud AutoML, BigQuery ML) sufficient to reason about multi-cloud architectures and integration points., • Proven ability to mentor peers, run enablement sessions, and collaborate across Sales, CS, and Product., • Soft Skills, • Excellent communication skills across technical and business audiences; able to simplify complex ideas and influence decisions., • Natural ownership mentality: you escalate early, resolve fast, and own the outcome., • Demonstrated ability to work effectively in a remote-first, global environment., • Education & Certifications, • BA/BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience., • Additional data or AI certifications (e.g., AWS/GCP data certifications, reputable AI/ML programs such as Stanford, Coursera, Udacity, MIT, eCornell)., • Expanded AI/ML & Dev Experience, • Experience with modern RLHF, advanced fine-tuning techniques, and hybrid AI architectures., • Familiarity with Hugging Face or similar open-source ecosystems integrated with AWS., • Prior experience as a ML Engineer, Data Scientist, or AI-focused Architect in a consulting or SaaS environment., • Tooling & Process, • Experience with JIRA or similar tools for tracking work across delivery and product-feedback cycles., • Exposure to Agile practices and frameworks commonly used for SaaS and cloud delivery. Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our ___. Sounds too good to be true? Check out our___. We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

We’re looking for a Staff Software Engineer with strong backend fundamentals who is excited about building production AI systems. This role is a great fit for a backend SWE who works comfortably in AI-driven problem spaces and wants to apply strong software engineering skills to create LLM-backed products and platforms. This is not a research role. While we work closely with research and science teams and often operate in greenfield spaces, this position sits squarely in a product engineering organization. The focus is on designing, building, and operating reliable systems that ship real value to customers and internal users. Engineers on this team may lean more toward platform foundations (core services, APIs, enablement) or toward AI application and evaluation work (LLM-powered features, agentic workflows, quality systems), depending on strengths and interests. What unites the role is a strong commitment to software engineering rigor, stewardship, and continuous learning. Our team places a high value on experimentation and knowledge sharing. Engineers are encouraged to explore new AI tools and techniques to improve their own productivity and the quality of their work, and to share what they learn with others. As a Staff AI Software Engineer, you will: • Design, build, and operate backend services in Python that power AI-driven products and shared capabilities., • Build and maintain resilient service integrations across internal and external systems, handling failure modes, rate limits, and interface changes., • Own ambiguous, end-to-end problems: from early design and architecture through implementation, rollout, and iteration in production., • Develop and evolve LLM-backed features and agentic workflows used in production, with a focus on reliability, observability, and real-world behavior., • Contribute to core AI platforms and enablement systems—services that your team uses directly and that other engineers can build on., • Collaborate with product managers, researchers, and other engineers across teams to turn loosely defined AI use cases into concrete, production-ready systems., • Help shape evaluation and quality strategies for AI-powered features, including building or extending evaluation harnesses, benchmarks, or feedback loops., • Act as a technical leader for the work you own—making sound design decisions, coordinating with stakeholders, and contributing to design and code reviews., • A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience., • 8+ years of experience building and shipping production backend software., • Excellent modern Python engineering skills, with the ability to work effectively in distributed, asynchronous environments., • Strong system design skills, including the ability to write clear design docs and solution specifications that align stakeholders and drive sound architectural decisions., • Demonstrated ability to shepherd work from concept through production in complex, evolving environments., • Proven experience designing and implementing integrations across multiple systems in production environments., • Hands-on experience shipping and operating LLM- or generative-AI–backed features or services as part of larger production systems., • Excellent communication skills and a collaborative approach in globally distributed teams., • Experience designing or operating core platforms, internal services, or developer enablement tooling., • Experience with applied LLM systems and context engineering, including agentic workflows, retrieval-augmented generation, or evaluation pipelines., • Experience building and evolving service interfaces using REST, GraphQL, and/or gRPC, with an understanding of tradeoffs around performance, schema evolution, and compatibility., • Experience with stateless and stateful backend systems (e.g., relational or NoSQL databases, caching, streaming systems)., • Experience with modern AI engineering ecosystems, such as Pydantic AI, LLM tracing and observability systems, evaluation pipelines, or MCP., • Familiarity with MLOps or AIOps concepts and tooling (e.g., MLflow, Databricks, model gateways)., • Experience with cloud infrastructure (AWS, Azure, GCP), including effective use of managed services, and deployment tools (Docker, Kubernetes, Terraform, ArgoCD)., • Background in—or curiosity about—applying AI to cybersecurity or similarly complex, real-world domains. You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry. • Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA, • Unlimited PTO, • Industry-leading gender-neutral parental leave, • Paid Company Holidays, • Paid Sick Time, • Employee stock purchase program, • Disability and life insurance, • Employee assistance program, • Gym membership reimbursement, • Cell phone reimbursement, • Numerous company-sponsored events, including regular happy hours and team-building events

We're hiring a Senior Backend Engineer to advance our Real-Time Bidding (RTB) capabilities. You'll focus on designing, building, and scaling the backend of our RTB system — spanning service integration (FastAPI), database infrastructure, and MLOps components — while contributing to the ML models

The Enterprise Architect, AI and Platform Engineering is responsible for defining, governing, and evolving EDETEK’s end-to-end enterprise architecture across AI, data, platform engineering, and product ecosystems. This role provides architectural leadership and technical direction to ensure that all platforms, products, and shared services align with business strategy, regulatory requirements, and long-term scalability goals. This individual will serve as the architectural authority across AI, cloud, data, and application domains, ensuring coherence across product lines while enabling innovation and rapid delivery. The ideal candidate brings strong experience in enterprise and solution architecture within regulated life sciences environments, with hands-on exposure to AI-enabled platforms and cloud-native systems. 1. Enterprise Architecture Strategy and Governance • Define and maintain the enterprise architecture vision across applications, platforms, data, and AI capabilities., • Establish architectural principles, standards, and reference architectures that guide AI and platform engineering initiatives., • Ensure alignment between business strategy, product roadmaps, and technology investments., • Lead architectural governance, reviewing designs for compliance, scalability, security, and maintainability. 2. AI and Platform Architecture Oversight • Provide architectural oversight for AI platforms, data pipelines, and machine learning lifecycle components., • Define target architectures for AI enablement, including data ingestion, feature management, model training, inference, deployment, and monitoring., • Partner with AI, data science, and platform engineering leaders to ensure consistency across MLOps, data platforms, and shared services., • Guide adoption of modern architectural patterns including microservices, event-driven systems, service mesh, and API-first platforms. 3. Cloud, Data, and Integration Architecture • Define cloud architecture standards for AWS-based SaaS platforms, including networking, identity, access management, security, resiliency, and disaster recovery., • Architect enterprise-scale data platforms supporting analytics, reporting, and AI workloads., • Establish integration and interoperability patterns across internal platforms, partner systems, and customer environments., • Ensure architectural decisions balance scalability, performance, cost optimization, and operational excellence. 4. Product and Engineering Alignment • Partner closely with Product Management, Platform Engineering, and Delivery teams to translate product requirements into scalable, reusable architectures., • Ensure architectural consistency and reuse across multiple products and shared services., • Support solution architecture for strategic customer initiatives and complex enterprise deployments., • Influence build versus buy decisions for platforms, tools, cloud services, and AI capabilities. 5. Compliance, Security, and Quality Architecture • Ensure enterprise architectures comply with regulatory and quality standards including 21 CFR Part 11, GxP, HIPAA where applicable, and global data privacy requirements., • Embed security, auditability, validation, and traceability principles into architectural standards and solution designs., • Support responsible AI practices by ensuring governance, explainability, and model traceability are addressed at the architectural level., • Work closely with security, QA, and compliance leaders to maintain audit-ready platforms. 6. Technology Roadmapping and Thought Leadership • Maintain multi-year enterprise architecture roadmaps aligned with EDETEK’s growth and product strategy., • Evaluate emerging technologies across AI, cloud, data platforms, and developer tooling for relevance, risk, and ROI., • Act as a trusted architectural advisor to executive leadership and senior stakeholders., • Mentor enterprise, solution, and platform architects across the organization., • 12 plus years of experience in enterprise architecture, solution architecture, or large-scale platform architecture roles., • Strong experience in Life Sciences, particularly Clinical Development, R&D, or regulated healthcare and clinical data environments., • Proven expertise in designing and governing cloud-native architectures on AWS at enterprise scale., • Experience architecting AI-enabled, data-intensive, or analytics-driven platforms deployed in production., • Strong understanding of distributed systems, integration patterns, data architecture, and security architecture., • Experience working with product and engineering teams operating in agile delivery models., • Bachelor's or Master's degree in computer science, Engineering, or a related field., • AWS Advanced AI and general certifications, • Experience defining and governing MLOps and AI platform architectures., • Familiarity with clinical data standards such as CDISC and regulated software validation practices., • Hands-on technical background with technologies such as Python, Java, .NET, Spark, PostgreSQL, and AWS-native services., • Experience with enterprise integration platforms, API management, and event streaming technologies., • Prior experience serving as an architectural review board member or design authority., • Shape the enterprise architecture that underpins AI-powered clinical and R&D platforms at scale., • Influence how AI, data, and cloud technologies are applied responsibly across regulated life sciences environments., • Partner closely with executive leadership on long-term technology and platform strategy., • Choice of comprehensive Medical, Vision and Dental Insurance plans, • Paid vacation time and sick days, • Corporate holidays annually, • Participation in the 401K Plan, • Comprehensive perks and discount programs for AAA, wholesale, insurance, Rx, fitness, pets, entertainment, etc., • Health Advocate and Employee Assistance Program

Experience: 4+ years in a full-stack software engineering role, with a strong focus on data engineering. Work alongside software engineers and data scientists, providing programming and infrastructure support for MLOps and data science initiatives. Help shape our engineering direction by implementin

At 8th Light, we bring life to the best ideas. Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimize our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. If this kind of work and our kind of people energizes you, you’ve found the right place. You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: • Successfully contributed to high-stakes consulting engagements from discovery to production, • Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served, • Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate, • Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics), • Used context-appropriate automated testing to inform software design choices and catch bugs, • Debugged and refactored pre-existing code to incrementally improve it, • Collaborated with teams using Git, MacOS/Linux, and CI/CD, • Remedied architecture-level concerns such as scalability, security, reliability, and performance, • Contributed to forums that encourage idea sharing, collaboration, and problem solving, • Made thoughtful recommendations and set direction in the face of ambiguity, • Mentored and shared knowledge with colleagues, • Actively sought out and effectively given feedback, • Communicated empathically with stakeholders and colleagues, • Influenced stakeholders to balance technical considerations with product and user needs As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for: • Making immediate contributions to projects, rapidly building trust with your clients and team, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines, • Contributing to architecture and software design discussions, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring, • Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients, • Contributing to formal feedback conversations with teams and clients via retrospectives, • Clearly articulating and documenting outcomes and driving forward action items, • Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions, • Identifying, mitigating, and resolving blockers to team progress, • Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry, • Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate, • Confidently predicting the next World Series Win for the Chicago White Sox. We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: • MLOps: including tools like LangChain for application development and managing the ML lifecycle, • Data Engineering: including platforms like Databricks for data processing and analytics, • DevSecOps & DevOps, • Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. Our wellness package is designed with the Whole YOU in mind and includes: • A robust L&D program featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform, • Coworking support for our global team, • Flexible PTO, • 12 weeks of new parent leave available for eligible employees, • Transparent semi-annual promotion panel See our full list of ___. At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within Chicago, Illinois is: $104,160-$130,200 USD. Reach out to for more relevant information pertaining to your local market. As a remote-first company, 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. If you are hired into a hub, you will be a part of a team with regular rituals around co-working and community building. For team members outside of those cities, we offer access to coworking spaces to foster continued collaboration and connection across our global team. In most cases, our consulting engagements do not require travel. We hope to see you apply! #LI-Remote

Location: Remote Type: Full-Time **We will only consider candidates who are located in Latin America At tapouts, we believe in the boundless potential of every child. Our mission goes beyond teaching skills; we are dedicated to nurturing the emotional and psychological well-being of the next generation. Imagine being part of a team that transforms the lives of a million children and their families. By joining tapouts, you are not just taking on a job but using your talents for a deeply rewarding cause. We are looking for a Senior Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and maintaining scalable data infrastructure that powers our analytics, AI initiatives, and business operations. This is a hands-on role for someone who thrives in fast-paced environments, thinks like a platform architect, and is passionate about building data systems that matter. • Design, build, and maintain robust, scalable data pipelines (batch and real-time/streaming)., • Design and develop dashboards that surface key business metrics and enable strategic, data-informed decision-making., • Develop and optimize complex SQL queries, stored procedures, and data models, • Write clean, production-grade Python code for data ingestion, transformation, and automation, • Build and manage cloud-native data infrastructure on AWS, GCP, or Azure, • Implement and maintain data lakehouse architectures (e.g., Delta Lake, Apache Iceberg), • Support ML workflows including feature engineering, model training pipelines, and MLOps integration, • Ensure data quality, governance, and lineage tracking across all data assets, • Collaborate with data scientists and analysts to deliver trusted, well-documented datasets, • Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency, • Contribute to the development of internal data platform tools and frameworks, • Apply data governance best practices and ensure compliance with data privacy regulations (GDPR, LGPD), • A platform-first mindset — you think beyond individual pipelines and consider ownership, reliability, and long-term maintainability, • A data-driven approach — you use metrics to measure pipeline health and continuously improve, • Strong communication skills — you can collaborate with technical and non-technical stakeholders, • Comfort working in ambiguous, fast-moving environments and bringing structure to chaos, • 5+ years of experience in data engineering or a related field, • Strong proficiency in SQL — writing complex queries, optimizing performance, and data modeling, • Strong proficiency in Python — building ETL/ELT pipelines, scripting, and automation, • Experience with cloud platforms: AWS, GCP, or Azure, • Hands-on experience with data orchestration tools (Apache Airflow, Prefect, or similar), • Experience with big data frameworks (Apache Spark, Kafka, Flink, or similar), • Familiarity with data warehousing solutions (Snowflake, BigQuery, Redshift, or similar), • Strong understanding of data modeling, schema design, and data architecture principles Nice to Have: • Experience with dbt (data build tool) and the modern data stack, • Familiarity with streaming and event-driven architectures, • Knowledge of MLOps and AI pipeline support, • Experience with data mesh or data platform engineering Join us in our mission to empower children with the social and emotional skills they need to succeed!

We are seeking a Director of Decision Science to build and scale one of Workiva's most strategically important functions. This is not a role for someone who maintains the status quo-it's for a leader who sees around corners, raises the analytical bar, and fundamentally changes how Workiva uses data to compete and grow. You will lead our Decision Science team, set a transformative vision, and drive initiatives that influence decisions at every level of the business. You will harness state-of-the-art technologies-including Snowflake Cortex, AI-powered analytics, and modern ML platforms-to build capabilities that didn't exist before. You will shape Workiva's Enterprise Data Strategy, influence how business functions operate through data-backed recommendations, and help build a company where data is a genuine competitive advantage. This role reports to the VP of Enterprise Data & Analytics. What You'll Do Build & Scale Analytics Capabilities Across Workiva * Grow and scale a world-class decision science function-defining the capability roadmap, tooling standards, and operating model that compound in value over time * Introduce and embed state-of-the-art analytical capabilities, including Snowflake Cortex, LLM-assisted analysis, AI-powered self-service insights, and modern MLOps practices, into the team's everyday workflow * Oversee the full model lifecycle-from development and validation through deployment, monitoring, and optimization-ensuring analytical products stay accurate and impactful over time * Establish a culture of analytical excellence, curiosity, and continuous learning-where the team is always pushing the boundaries of what's possible with data * Recruit, develop, and retain exceptional talent across data science and BI disciplines, building a team that is both technically elite and business-savvy * Define and lead the Data Science and BI strategy and roadmap, ensuring alignment with company priorities and measurable business outcomes Drive Business Impact Through Insights * Partner deeply with Sales, Product, Customer Success, Marketing, Finance and other business teams to influence functional strategies and operations through rigorous, data-backed recommendations * Translate complex, ambiguous business problems into structured analytical approaches-guiding teams to deliver high-quality, decision-ready insights that move the needle * Present data-driven recommendations to senior and executive leadership, shaping strategy through compelling narratives that connect analysis to outcomes * Drive an agile, iterative delivery process, breaking complex initiatives into executable components and continuously improving based on stakeholder feedback Accelerate Workiva's Enterprise Data Strategy * Partner with leaders in Data Platform, Data Product Management, and Data Governance to co-develop and execute Workiva's Enterprise Data Strategy * Champion the design and governance of a standardized, company-wide metrics framework-ensuring consistency, integrity, and alignment across all business functions * Act as a thought leader and strategic advisor on AI/ML and advanced analytics, elevating data maturity across the organization and influencing how the company thinks about data as a strategic asset * Collaborate with Data Engineering and Analytics Engineering to design scalable data assets, metrics, and features that meet evolving business and analytical needs * Uphold data ethics, compliance, and responsible AI standards - promoting transparency, fairness, and trust in all analytical initiatives Elevate Self-Serve and BI Capabilities * Drive the evolution of Workiva's BI and self-service capabilities-moving from static reporting to AI-powered, decision-ready intelligence accessible to all business users * Establish and maintain best practices in metrics design, model reproducibility, experimentation, and data governance * Communicate clear, actionable insights to both technical and non-technical audiences, tailoring messages for maximum impact at every level of the organization What You'll Need Minimum Qualifications * 8+ years of experience in Decision Science, Data Science, Machine Learning, or related analytical fields with an advanced degree or 10+ years of experience with a Bachelors, including 3+ years leading high-performing technical teams * Proven experience in SaaS or B2B environments, specifically using data to drive Go-To-Market (GTM), customer success, or product strategy * Sufficient hands-on background to evaluate methodology choices, conduct code-level dialogue, and guide analytical rigor across the modern data stack (e.g., Snowflake, SQL, or cloud data platforms) * Demonstrated success in building, scaling, and inspiring technical talent across Data Science and BI disciplines * Ability to influence functional strategies through compelling narratives presented to C-suite or senior leadership * Demonstrated ability to translate ambiguous business problems into structured analytical frameworks and deliver measurable business outcomes Preferred Qualifications * Familiarity with modern transformation tools (e.g., dbt, metrics layers) and enterprise BI platforms (e.g., Sigma, Looker) * History of leading or co-leading enterprise-wide data or AI transformation initiatives, moving an organization from reactive reporting to predictive intelligence * Hands-on experience or a strong strategic point of view on implementing Snowflake Cortex, LLM-based workflows, and AI-powered analytics for business impact * Deep expertise in statistical modeling, causal inference, experimentation design, and applied analytics to drive business decisions * Technically credible across data science, ML, and analytics-with enough hands-on background to guide analytical decisions, evaluate methodology choices, engage in code-level dialogue, and hold the team to a high bar, without needing to be the one building it Working Conditions & Travel Requirements * Ability to travel to meet with customers and/or key stakeholders, product teams in other Workiva locations (up to 25%) * Reliable internet access for any period of time working remotely, not in a Workiva office How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world. At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email ___. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP). This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments. As the AI Solutions Engineer you will: 1. AI Model Strategy, Selection and Implementation * Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. * Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter. * Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks). 2. End-to-End Data Engineering * Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats. * Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts. * Build Data pipelines with Spark, Nifi, Kafka or other ETL tools. 3. Optimization & Performance Tuning * Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift. 4. Public Sector Advisory & Governance * Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. * Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership. We're excited about you if you have: (Minimum Qualifications): * Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning. * Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). * Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems. * Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack. * Experience developing visual data representations and dashboards (Django, React, or Angular) * Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc) * Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector). * Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). * Active Top Secret Security Clearance You may also have: (Preferred Qualifications) * Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature. * Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. * Experience installing and operating Cloudera Data Platform * Experience installing and operating Kubernetes * Experience in Air-Gapped deployments and managing AI workloads in disconnected environments. * Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field. * Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Job Description Summary #LI- Hybrid Novartis has an exciting opportunity for a Director, Analytics Infrastructure & Pipeline Operations. This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science and analytics at scale. By leveraging advanced AI technologies, modern data engineering tools, and feature engineering platforms, this director creates self-service, analytics-ready datasets and enterprise feature stores that empower both expert data scientists and citizen data scientists to rapidly develop, deploy, and scale models. This position will be located at the East Hanover, NJ site and will not have the ability to be located re-motely. This position will require 15% travel as defined by the business (domestic and/ or international. Job Description Key Responsibilities • Design and implement intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation., • Build and maintain centralized feature stores that enable feature reusability across multiple models and use cases., • Create curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving layers., • Develop automated feature engineering pipelines that transform raw data into analytics-ready features with lineage tracking., • Partner with Enterprise IT to optimize analytics platform architecture for high-performance data science workloads., • Build automated pipelines that integrate diverse data sources including sales, CRM, patient claims, real-world evidence, and unstructured data., • Create self-service data access layers that empower data scientists and analysts to query and extract data independently., • Establish SLAs for data availability, freshness, and quality; implement monitoring and observability solutions. Essential Requirements • Advanced degree in Computer Science, Data Engineering, or related field;, • 10+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure., • 5+ years leading teams building enterprise-scale data platforms and feature stores., • Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store)., • Deep expertise in modern data platforms optimized for ML workloads (Databricks, Auto ML, Snowflake, BigQuery)., • Strong proficiency in Python, SQL, Spark/PySpark for large-scale data processing., • Experience with data orchestration tools (Airflow, Prefect, dbt) and CI/CD for data pipelines., • Proven track record of implementing AI/ML-powered automation in data engineering workflows., • Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability)., • Builder mindset with ability to create scalable, self-service capabilities that reduce dependency on data engineering., • Experience in pharmaceutical, healthcare, or life sciences industry., • Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture. Novartis Compensation Summary: The salary for this position is expected to range between $194,600 and $361,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $194,600.00 - $361,400.00 Skills Desired Agile (Programming Methodology), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision, Visualization

We are looking for a forward-thinking Lead AI Developer to architect and build the next generation of autonomous AI applications. You will move beyond standard prompt engineering to design Agentic Workflows—systems where LLMs function as reasoning engines that can plan multi-step tasks, utilize external tools (APIs, databases), and collaborate with other specialized agents to achieve high-level goals. You will lead the technical implementation of "Agency" in our software, transforming passive AI responses into active, goal-oriented behaviors. Experience working with the GCP Vertex AI ecosystem is essential. In this role, you will design agents capable of complex reasoning and tool usage, leveraging Google’s managed infrastructure (Vertex AI Vector Search, Cloud Run, and BigQuery) to ensure reliability, security, and performance. 1. Architecting and Implementing Agentic Workflows • Design Autonomous Loops: Build stateful control loops (Perception -> Reasoning -> Action) where agents can interpret clinical data, plan necessary checks, and generate risk assessments., • Conversational Agentic workflow: Chatbot style user experience powered by LLM, • GCP Integration: Leverage Vertex AI for model serving and LLM models for reasoning, optimizing for long-context windows to process complex medical history., • RAG & Grounding: Implement "Enterprise Grounding" using Vertex AI Vector Search to ensure all agent outputs are strictly cited against official medical literature (e.g., medical research and guidelines). 2. Data & Tool Integration • Structured Data Access: Build robust Python tools (Function Calling) that allow agents to securely query BigQuery or other datastores for patient demographics and symptoms., • Security & Compliance: Ensure all AI operations comply with HIPAA/GDPR standards, implementing strict PII masking and data governance within the Google Cloud environment., • System Reliability: Deploy agents on Vertex AI, Cloud Run, or GKE, ensuring low-latency inference and high availability for clinical users., • Agent monitoring: implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance 3. Leadership & Strategy • Mentorship: Guide a team of engineers in MLOps best practices (CI/CD for models, evaluation pipelines)., • Evaluation: Implement "LLM-as-a-Judge" frameworks to automatically test agent accuracy against "Golden Datasets" of clinical cases., • Core AI: Deep proficiency with LangChain or LangGraph, and specific experience with the Vertex AI SDK and ADK (Agent Development Kit), • Conversational workflow: Google Dialogflow CX, • LLMs: Expertise in prompting and configuring LLMs, specifically utilizing Function Calling and Context Caching., • Experience with integrating LLMs into platform and application workflow, experience with MCP protocols, • RAG/Embeddings: expert level experience in design and implementation of RAG based system using embeddings and vector databases, • Data Engineering: Strong SQL skills for BigQuery; experience with Vector Databases (Pinecone, Milvus, or Vertex Vector Search), • Backend Engineering: Mastery of Python (FastAPI) and containerization (Docker) for deploying microservices to Cloud Run or GKE., • Healthcare Domain: Familiarity with handling unstructured medical text or clinical guidelines is highly preferred., • Experience:, • 5+ years of software development experience., • 2+ years of hands-on experience building and deploying enterprise-grade agentic applications (e.g., using LangGraph, LangChain Agents)., • Familiarity with scalable, enterprise-level distributed systems, • Experience with advanced data structures, algorithms, and complexity analysis, • Demonstrated history of product value delivery, • Education:, • Bachelor's degree in Computer Science, Computer Engineering, or a closely related quantitative field is required., • Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred., • Work Authorization: Benefits: • Competitive salary and benefits package., • Flexible working arrangements (remote or hybrid options available)., • The opportunity to work on life-changing AI technology that directly impacts patient outcomes., • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity., • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

DevOps Manager – Lead Databricks, AWS & Azure Cloud Strategy for a High-Growth Data-Driven Organization (Hybrid TX) This Jobot Job is hosted by: Alex Millan Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $130,000 - $140,000 per year A bit about us: Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations. With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms. They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure. This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling. You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment. Why join us? Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale. Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows. Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency. Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment. Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities. Job Details Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership. Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization. Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks. Proven expertise in AWS and Azure cloud environments. Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps). Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates). Skilled in Python, Bash, or PowerShell for automation and deployment scripting. Familiarity with Docker, Kubernetes, and container orchestration in production environments. Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics. Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR). Preferred: Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert. Experience with MLOps, streaming data, and cloud cost optimization. Background in Agile/Scrum methodologies with tools like Jira or Asana. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. 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We’re seeking an experienced Machine Learning Operations (MLOps) Engineer to join our team and build the infrastructure that powers AI and machine learning at K1X. This is a hands-on role focused on designing scalable systems, pipelines, and tooling that enable our Machine Learning Engineers

We get it. You have options. Let us tell you why we’re different. Our work is changing the world of financial services. Everyday, clients arrive with big ideas for their industry. They’re experts in their field with the vision and resources you need to change everything. All that’s left is the right team to bring that vision to life. If you’re a fast learner and you love working on a wide variety of projects, you’re going to like it here. We help our clients modernize, rather than rebuild, outdated customer-facing software applications. Our clients see a return within weeks instead of months and that’s why they choose us. At Praxent, we let you do your work your way. We’re a team of 160+ located throughout the United States and Central/South America. Our role is to encourage you, support you, and give you the freedom you need to thrive. Whether you’re working at home, in a coffee shop, or heck, even on your travels, we’re here to create an environment that lets you live your best life. On your terms. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in the following locations: Texas, Colorado, Georgia, Florida, Massachusetts, Maryland, Minnesota, Nebraska, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Washington. Your Mission: Lead development teams to ensure sprint commitments are met As a Principal AI Engineer, you will shape Praxent’s AI future by defining technical standards, guiding AI architecture, and enabling teams to deliver high impact AI solutions with confidence and consistency. You will serve as a technical authority across AI initiatives partnering with sales, delivery, and governance teams to translate business goals into scalable, production ready AI systems. Through leadership, mentorship, and hands on solutioning, you will ensure Praxent remains a trusted AI partner for our clients. How You’ll Make an Impact: • Establish Technical Standards & Architecture, • Define and maintain AI technical standards, reference architectures, prompt libraries, templates, and playbooks., • Support the creation and evolution of AI enabled SDLC frameworks with developers that teams can reliably apply across projects., • Lead architecture reviews and act as a quality gate for AI design decisions., • Support Presales AI Solutioning, • Partner with sales and delivery to design AI strategies, architectures, and proof of concepts., • Translate client needs into compelling technical narratives and implementation plans., • Serve as a trusted technical voice during early stage client engagements., • Design & Implement MLOps Platforms, • Architect and deploy MLOps/AIOps platforms that support model lifecycle management, evaluation, and monitoring., • Optimize performance, cost, and reliability across AI deployments., • Ensure AI solutions are secure, observable, and production ready., • Elevate Training & Delivery Quality, • Develop and deliver AI training programs, workshops, and internal documentation., • Maintain AI standards and learning content within internal platforms., • Mentor engineers and delivery leads on AI trade-offs, risks, and best practices. Your Day-to-Day: • Define AI architecture patterns and review project implementations, • Create reusable AI frameworks, prompts, and playbooks, • Support presales efforts with technical designs and client-facing explanations, • Coach teams through architectural decisions and delivery challenges, • Collaborate cross-functionally to align AI initiatives with business outcomes Your Qualifications: • AI & Technical Leadership: Deep experience designing and delivering AI enabled systems in production., • Strong background in MLOps, model lifecycle management, and evaluation frameworks, • Proficiency with modern AI/ML frameworks and cloud based AI platforms, • Architecture & Delivery Experience: 8–12+ years of professional experience in software engineering and system architecture., • Proven ability to design scalable, secure, and maintainable systems, • In depth experience with end-to-end full stack architectures, modernizing legacy systems into scalable, cloud-ready solutions while leveraging AI/ML capabilities (e.g., LLMs, automation, intelligent workflows) to improve performance, maintainability, and business outcomes., • Experience improving delivery efficiency through standards and tooling, • Client & Communication Skills: Comfortable presenting complex AI concepts to technical and non-technical stakeholders. Ability to connect AI capabilities to measurable business value, • Mentorship & Culture Building: Demonstrated experience mentoring engineers and elevating team capabilities. Passion for building shared understanding and continuous improvement, • Relevant Education May include intensive programs, Bachelor’s degree in Computer Science, Engineering, or equivalent experience, • Values Alignment: We Care Deeply, Always Deliver, Never Settle, Do It Together, Own the Outcome, and approach every situation with a CAN DO mentality – learn more about our ___ and be sure to let us know which aligns most with your experience!, • Stability. We've been in business for over 20 years., • Work stays at work. We promote a healthy work/life balance to help ensure you have the time that you need. We encourage no more than a 40 hour work week., • Great company culture. We’ve been recognized by Texas Monthly, Clutch, Comparably, and more for the quality of our workplace. Feel free to check out our rating on Glassdoor., • We’re here to enable you. It’s your work and your career. Our management team is here to help you become who you want to be. Not to micromanage you., • Stay Healthy. We offer medical, dental, and vision coverage as well as wellness days. We also provide disability insurance and we even have a wellness program., • Plan for the future. We don’t want you to work here forever. Save for retirement with an IRA and we’ll match up to 3% every year., • We value your ideas. At Praxent, our doors are always open. Need help? Come on in. Have a vision for the future of the company? We’d love to hear it., • Rest and relaxation. Employees enjoy 15 days of PTO, 9 US holidays, 5 wellness days, and a closed office the last week of the year. Employees earn more PTO each year., • You’re more than an employee, you’re a person. Every co-worker you’ll meet is committed to treating you with respect and kindness. You won’t hear stuff like, “It’s just business.”, • Family Values. Praxent provides paid parental leave. The US base salary range for this full-time position is $186,433- $214,898 + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. #LI-Remote

Job Type Full-time Description Remote Greater Seattle Area About the Company AuthenticID is solving one of the biggest business issues in the world today: Fraud. Fraud losses are skyrocketing for companies as sophisticated actors are leveraging artificial intelligence to create world-class fake or synthetic identities to defraud banks, wireless carriers, governments, and every other enterprise on the planet. AuthenticID uses game-changing, proprietary machine-learning algorithms to ensure people are who they say they are, thereby preventing fraud and saving our customers millions of dollars a year. Our products combine biometric and computer vision technology to provide very fast determinations of whose identity is real and whose is not over the web and in mobile applications. AuthenticID is headquartered in Kirkland, WA, and serves enterprise clients across diverse industries, including Telecom, FinTech, Healthcare, Banking, Gaming, and Government. Many of our clients are Fortune 500 household names with billions of dollars in revenue. The Opportunity Reporting to the VP of Customer Support, Support Engineers create the foundation of trust for AuthenticID’s customers. Our ability to respond to customer needs, provide exceptional customer service, and take action to resolve issues – both big and small – are paramount to AuthenticID’s continued success. Tier 2 Support Engineers have a track record of success in the following areas: • Communication: you are adept at translating technical information into clear explanations for a variety of users., • Critical Thinking: you relentlessly seek out opportunities to improve customer satisfaction, simplify processes, and boost team collaboration. You leave situations better than you found them., • Customer Experience: at least 2 years of customer service experience in a SaaS or IT-based organization. Startup and/or cybersecurity (identity) experience is desired., • Spreadsheets: Comfortable with Excel and Google Sheets. Intermediate experience with Formulas, Pivot Tables, VLOOKUPs, Conditional Formatting, and Data Validation., • Word Processing: Experience with formatting and professional presentation of Word documents and emails. What You Bring • Knowledge of AuthenticID products, • Technical Experience Desired:, • Familiarity with:, • Any 3GL programming language, • Python and SQL is required., • Jupyter notebooks is desired, • Snowflake, • Grafana for monitoring and diagnosis is desired., • DiffMerge is desired., • DiffGram is desired., • BA or BS in Computer Science or similar (graduate degree preferred), • Enterprise B2B2C experience in a data analytics or consulting role preferred, • Communication ninja adept at translating complex technical matters into simple actionable directives, • Critical thinking, exceptional teaching, and problem-solving guru, • Research and understand MLOps standards and processes, • Formulate and evaluate alternative solutions and/or recommendations to achieve departmental goals, • Collect and analyze data, create reports, review and explain trends, • Mission-oriented individual passionate about making a difference and building something greater than yourself, • You thrive in rapidly changing environments with no issue rolling up your sleeves to get the job done AuthenticID’s salary range for this position is $80,000 -$110,000 per year. Our salary ranges are determined by role, level, and location. Pursuant to the Washington Equal Pay Act, Colorado Fair Pay Act and the New York City Pay Transparency Law, the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. Salary is just one component of AuthenticID's total compensation package for employees. Your total rewards package at AuthenticID will include medical, dental and vision coverage, unlimited PTO, flexible work environment, and many other corporate initiatives centered around employee experience. Equal Opportunity Statement AuthenticID is an equal-opportunity employer, and we welcome applicants from all backgrounds. If you're passionate about consumer identity privacy and a team player who wants to join a growing diverse and dynamic team, we look forward to hearing from you! Salary Description 80,000-110,000

NT Concepts is a dynamic and innovative company dedicated to addressing the most critical challenges in National Security. We are seeking a highly skilled Senior Software Engineer to join our team and contribute to our mission-driven work. At NT Concepts, we value initiative, creativity, and continuous self-improvement. If you are a motivated and talented software engineer looking for a challenging and rewarding role, we encourage you to apply. Join our team and discover new opportunities for growth and development. Clearance: An active Secret clearance is required. Candidates with an active TS/SCI or TS/SCI with Polygraph are strongly preferred. U.S. citizenship is required. Location: Chantilly, VA with 50% remote flexibility As a Senior Software Engineer on our solutions delivery team, you will have the opportunity to work on high-impact projects that drive the digital transformation of critical government systems. You will collaborate with a talented team to design, develop, and deploy cutting-edge solutions that make a meaningful difference. Responsibilities: • Collaborate with cross-functional teams to explore new ideas and technologies, and drive the adoption of lean agile practices, • Design, develop, and deploy software solutions using modern tech stacks and Ops methodologies (DataOps/DevSecOps/MLOps), • Work closely with customers to understand their unique technical and data challenges, and develop creative solutions to address them, • Take ownership of code quality, testing, and iteration, with a focus on continuous improvement and automation, • Coding solutions that adhere to customer security and requirements, • Ensure compliance with software design, development, testing, integration, and sustainment standards, • Research technology solutions, prioritize assignments, and work to resolve issues based on customer and business requirements, • Ensure that products are designed and developed for scalability, robustness, maintainability, and interoperability, • Create, implement, and adopt Development Best Practices Qualifications: • 6+ years of experience with full-stack software development leveraging multiple programming languages (e.g. Python, Django, Angular, TypeScript), • Clearance: An active Secret clearance is required. Candidates with an active TS/SCI or TS/SCI with Polygraph are strongly preferred. U.S. citizenship is required., • Experience with containerization software (e.g., Kubernetes, Docker), • Experience with cloud container orchestration and deployment (e.g., Fargate, ACI, EKS/ECS, GKE, AKS), • Experience with API design and implementation, • Experience working with a DevOps team, • Experience working with databases (e.g. PostgreSQL, MySQL, MongoDB, etc.) to include:, • Basic understanding of relational database design principles (e.g. Normalization vs Denormalization), • General knowledge of database administration concepts (e.g. users, schemas, constraints), • Basic query development experience, • Experience supporting code reviews, • Experience working in a fast-paced agile environment, • Demonstrated proficiency with Git version control systems, • Proven experience with modern tech stacks and Ops methodologies (DataOps/DevSecOps/MLOps), • Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, agile environment, • Strong desire to learn, grow, and improve, with a focus on delivering high-quality solutions that meet customer need Preferred Qualifications: • Preferred candidates present experience working on the backend with a Model-View-Controller (MVC) design pattern, • Experience working with Python for backend development is ideal, • Preferred experience with Fargate container environments, • Experience developing long-running ETL processes, • Experience with Cloud Providers, preferably AWS, • Preferred Certifications include Amazon Developer Associate, Amazon Solutions Architect Associate, • Demonstrated ability to effectively engage with Sponsor Information System Security Managers (ISSMs) to ensure security compliance of software Physical Requirements: • Prolonged periods sitting at a desk and working on a computer., • Must be able to lift up to 10-15 pounds at times. #JT Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission—solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative “big idea” problem-solving. Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients’ most critical challenges. Here, you’ll ___, opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in ___, which paves the way for positive social change. If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we’d love to have you move forward with us.

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: * Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. * Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. * Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. * Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. * Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. * Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. * Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. * Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. * Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: * Degree in Computer Science, Engineering, Statistics, or a related technical field. * Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. * Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. * Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. * Strong foundational understanding of algorithmic complexity and data structure optimization. * Excellent problem-solving, collaboration, and communication abilities. * Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. * Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. * Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. * Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). * Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. * Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. * Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. * Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. We provide support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

2018年にサービスを開始してから約6年でユーザー数6500万人を突破したフィンテック企業であるPayPayは約50か国の国と地域から集まった多様なメンバーで構成されています。 PayPay is a FinTech company that has grown to over 65M (as of August 2024) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries. OUR VISION IS UNLIMITED_ 我々は自分たちの想像を超える未来を創るためにあえて明確なビジョンは必要ないと考えています。常にDay1であるスタンスを忘れずに、誰もが想像できないようなビジョン（未来）を実現していくのがPayPayです。 この壮大なビジョンに前向きに取り組み、他社に真似できない圧倒的なスピードでプロダクトを磨き上げ、日本のキャッシュレス決済、またそれを使用した金融ライフプラットフォームとしての普及を一気に推進することにプロフェッショナルとして情熱を持って取り組み、自ら課題発見し、周囲と協力して新しい価値創出を共に推進する仲間を募集します。 . OUR VISION IS UNLIMITED_ We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realise a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passio ▼PayPay金融戦略本部の紹介 Introduction to the PayPay Financial Business Strategy Division PayPayをNo1のFintech企業に。という全社のミッションを達成するため、PayPayアプリの上でお金にまつわるすべて（「つかう」以外に「ためる」「ふやす」「かりる」「そなえる」「かんりする」）のユースケースを創り上げていく実行部隊です。 スマホファーストな金融サービスのUIUXを発明していくことにもなりますので、大手金融機関での新規事業開発を経験されていた方や、海外での新規事業に携わっていた方、データ領域で専門性を持っている方など経験やスキル・視点は様々なメンバーで構成されています。現状の金融サービスをより良くしていきたいという強い情熱を持った人と一緒に働きたいと思っています。 ◎組織構成：現在の金融戦略本部は20代後半～40代後半の総勢50名ほどで構成されております。部内に10名弱のデータアナリスト、データサイエンティストも所属しています。 To achieve the company-wide mission of making PayPay the No. 1 fintech company, we are the execution team responsible for creating all aspects of money-related use cases ("use," "save," "increase," "borrow," "prepare," "manage") on the PayPay app. As we inventing smartphone-first financial service UI/UX, our team consists of members with diverse experiences, skills, and perspectives, including those with experience in new business development at major financial institutions, involvement in new business ventures overseas, and expertise in the data field. We seek individuals with a strong passion for improving current financial services and are eager to work with people who share the same enthusiasm. Organizational Structure: The current ◎Financial Business Strategy Division consists of about 50 members ranging from their late twenties to late forties. The department includes nearly 10 data analysts and data scientists. ▼関連コンテンツ ▼募集の背景 Background of Recruitment PayPayはNo1のFintech企業を目指し、新しい金融の在り方を世の中に発信していきます。 そのためには、AI・データ活用組織としての成熟も不可欠であると考えています。それは、今後の世界で全てのユーザーにより良い金融体験を提供するためにAI技術は必ず中心的な役割を果たすためです。 機械学習技術を活用したこれまでのプロジェクトの例として、2024年3月26日に提供を開始した「PayPay資金調達」があります。今後も、AI・データ関連技術を活用し、より良い、新しい金融体験を提供していきます。 しかしながら、ミッションクリティカルなシステムの中枢にAI技術を使うにあたって、AIシステムには多くの要件が求められます。ビジネス要件を満たし、機械学習タスクにおいて高いパフォーマンスを示すだけではなく、「お金」や「ユーザーデータ」を扱うシステムとして高い信頼性が求められます。特に、不確実性の高いAIシステムの信頼性を保証することはチャレンジングな課題です。MLOpsの実践をはじめとして、新しい金融事業を支えるAI・データ活用基盤の立ち上げと成熟化に熱意をもって取り組んでいただける方に来ていただきたいと考えています。 ※入社時の所属部署は「金融戦略本部」になり、まずはそこでご活躍頂くことを想定していますが、その後のキャリアについてはご希望に合わせて検討させて頂きます。 PayPay aims to become the No. 1 fintech company and disseminate new financial approaches to society. To achieve this, we believe that maturity as an AI and data utilization organization is essential. AI technology will play a central role in providing better financial experiences for all users in the future world. An example of projects utilizing machine learning technology is "PayPay Shikin Chotatsu" launched on March 26, 2024. We will continue to utilize AI and data-related technologies to provide better and new financial experiences. However, using AI technology in the core of mission-critical systems requires meeting many requirements. Not only must it meet business requirements and demonstrate high performance in machine learning tasks, but it also requires high reliability as a system handling "money" and "user data." Ensuring the reliability of AI systems with high uncertainty is a challenging task. We seek individuals who are enthusiastic about launching and maturing AI and data utilization platforms to support new financial businesses, starting with MLOps practices. Although your department will be in the Financial Strategy Division, we would like you to play a broad role in PayPay in the mid- to long-term, and we will consider future transfers or dual assignments in accordance with your wishes. ▼具体的な業務内容 Position Details 機械学習エンジニアとして、AI・機械学習技術を活用しPayPayやグループ各社における金融サービスの開発を加速する役割を担っていただきます。（テックリード相当） As a machine learning engineer, you will play a role in accelerating the development of financial services at PayPay and group companies using AI and machine learning technologies. (Equivalent to Tech Lead) • 機械学習を活用した金融サービスの製品化に向けて、社内のエンジニア・データサイエンティストのチームとともに開発を行います。プロジェクト初期のビジネス要件定義・jupyterなどでのプロトタイピングフェーズから参画し、製品化に向けた本開発フェーズに向けて機械学習エンジニアの視点でプロジェクトを円滑に進めます。, • ビジネス上の問題解決のためのソフトウェア要件および、機械学習システム特有の品質要件を定義し、チーム開発方針を決定します。, • コードレビュー、テストなど、効率化・品質向上のために必要な開発者文化を自ら推進し、チームや会社全体に根付かせます。また、単一のプロジェクト・単一のチーム活動にとどまらず、PayPayにおけるMLOpsの成熟度を継続的に高めるべく、主体的に活動します。 Responsibilities include but are not limited to: • Collaborating with internal engineers and data scientists to develop financial services utilizing machine learning., • Defining software requirements for solving business problems and quality requirements specific to machine learning systems., • Promoting a developer culture for efficiency and quality improvement, such as code reviews and testing, and actively working to enhance the maturity of MLOps at PayPay beyond individual projects or teams. ▼本ポジションの魅力 Attractiveness of the Position • 6300万人を超えるユーザー、410万を超える加盟店により良い金融体験を提供するためのサービス開発を経験できる, • 自分しか持っていないデータ、自分たちしか経験できないビジネス課題に関わることができる, • AI活用組織のグロースに中心的立場で携わることができる, • ビジネス開発部門に所属しながら、ビジネス、データサイエンティスト、データアナリスト等多様な専門性をもつメンバーや他部署のメンバーと密に連携するため、コミュニケーションスキルや視野の広がりが得られる, • Experience in developing services to provide better financial experiences for over 63 million users and more than 4.1 million member stores, • Involvement in data and business challenges unique to PayPay, • Central role in the growth of an AI-powered organization, • Opportunities for collaboration with members of various specialties and other departments while belonging to a business development department, allowing for communication skills and broader perspectives, • Pythonを利用した製品開発経験, • パッケージ管理、テストツール、Linter等を用いたチーム開発経験, • 主要なデータ処理、機械学習ライブラリの利用経験, • チームリード経験（5～10名程度以上）, • MLOpsに関する経験・知見, • MLパイプラインのアーキテクチャ設計, • ワークフローエンジンに関する知見、特にMLシステムのワークフロー管理の経験, • クラウドサービスを利用した開発経験, • 日本語でのコミュニケーションが可能であること（日常会話レベル以上）, • Experience in product development using Python, • Experience leading teams (approximately 5 to 10 members), • Experience and knowledge of MLOps, • Development experience using cloud services, • Japanese language skill (daily conversation level or above), • 機械学習ライブラリ、OSSへのコントリビューション経験, • 社内MLOps基盤の開発経験, • 機械学習・データサイエンス関連分野での研究経験、または論文などの再現実装の経験, • データサイエンス・コンピュータサイエンス関連分野での学位, • ビジネス英語力 (TOEIC 800点以上), • Contributions to machine learning libraries and open-source software, • Development experience with in-house MLOps platforms, • Research experience or implementation of papers in machine learning/data science fields, • Degree in data science/computer science-related fields • Business English proficiency (TOEIC score of 800 or higher), • ___に当てはまる方 雇用形態 • 正社員 勤務地 • 原則在宅勤務（自宅もしくはサテライトオフィスにてリモートワーク）, • 全国居住可能 勤務時間 • スーパーフレックス制（コアタイム無し）, • 原則：午前10時～午後6時45分（実働7時間45分＋休憩時間 1時間） 休日 * 土日祝日、年末年始および会社指定日 休暇（法定休暇および会社福利厚生） • 年次有給休暇(初年度14日間、入社月に応じて按分付与。入社日から使用可） 給与 • 年俸制（一部固定残業代含む）, • 経験、スキル、業績、貢献度に応じ当社規定により決定, • 毎年1回見直し, • 会社業績および個人貢献度により特別一時金（インセンティブ）を支給（年1回） 時間外勤務手当、深夜勤務手当、在宅勤務手当（年10万円）有 ベネフィット • 社会保険（健康保険、厚生年金、雇用保険、労災保険）, • 企業型確定拠出年金制度 Other Information:

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Who is Tenable? Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Tenable is not only building great products and carving out a completely new category, but we are also building a world-class engineering culture committed to hiring the very best. We are looking for a Senior Software Engineer to join a founding initiative within our engineering organization. In this role, you will help design and implement the Agentic AI Platform, the orchestration layer and nervous system that enables autonomous agents to reason, plan, and execute complex security workflows across our Exposure Management ecosystem. This is a hands-on engineering role with broad impact. You will not just be "using" LLMs; you will be building the distributed systems, state machines, and tooling that transform generative models into reliable, enterprise-grade agents. While you will work from home the majority of your time, there may be an expectation to gather for in-person meetings on occasion. Your Opportunity: • Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows. You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices., • Orchestration & Workflow Automation: Design scalable workflow engines and "human-in-the-loop" systems. You will enable agents to perform long-running investigations and remediation tasks, balancing autonomy with control., • Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture., • Reliability & Guardrails: Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely. You will treat "prompts" as code and model outputs as untrusted input that requires validation., • Tooling & RAG: Build advanced Retrieval-Augmented Generation (RAG) pipelines and "Tool Use" capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources., • Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability. What You’ll Need: • B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience., • 5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms., • Agentic AI Expertise: Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI., • Polyglot Proficiency: Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components., • Distributed Systems: Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST)., • Data Fluency: Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch)., • Builder Mindset: A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade." And Ideally: • LLM Ops & Evaluation: Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows., • Cloud Native: Experience deploying and scaling services in AWS using Docker and Kubernetes., • Graph & Search: Familiarity with Knowledge Graphs or advanced search algorithms to improve agent reasoning., • Security Context: Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer. Applicants must be authorized to work for any employer in the U.S. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. #LI-LP1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $159,000 - $211,666.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact ___ for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click ___ to review. For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click ___ to review.

About Us We are a growing company that distills insights from satellite imagery and various other geospatial data sources into actionable intelligence for energy companies, financial market actors, and government agencies. We are looking for an experienced engineer to join our technical team and help shape our product trajectory. The Role We are looking for a Senior Backend Engineer who embraces AI agents to supercharge their workflows. Partnering with other developers on large-scale projects, you will leverage your deep technical expertise to rapidly prototype and develop robust backend systems, scalable APIs, and data pipelines to power our products. In particular, you are going to rethink our data storage and access strategies. • System Architecture: Design scalable near-real-time data streams, integrating data from multiple sources into analytics pipelines and relational databases., • Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to facilitate high performance inserts of our data streams and API reads for our customers, • Data Delivery & API Architecture: Architect highly performant APIs to serve vast quantities of geospatial and tabular data, ensuring rapid and reliable retrieval for downstream visualization and analytics., • Accelerate Development: Utilize AI coding agents to assist in the Software Development Life Cycle (SDLC) and help establish best practices for agentic workflows., • Cross-Functional Support: Work alongside software engineers and data scientists, providing programming and infrastructure support for MLOps and data science initiatives., • Technical Direction: Help shape our engineering direction by implementing robust data management practices and staying current on emerging technologies in data processing., • Ensure Code Quality: Refactor, profile, and optimize codebases. Implement rigorous integration testing, debugging, and deployment automation for cloud microservices., • Cloud: Google Cloud Platform (GCP), • Backend & Data: Python (API First), Postgres / PostGIS, Terraform, • Work Authorization: Must be a US Citizen or US Permanent Resident., • Location/Timezone: Must be located and working within Central Time (CT) or Eastern Time (ET) zones (no West Coast/Pacific Time)., • Education: BS degree in a STEM field., • Experience: 4+ years in a software engineering role, with a strong focus on data engineering., • Cloud Experience: 2+ years of hands-on experience in modern Cloud Systems (GCP, AWS, or Azure)., • Core Languages: Production-grade proficiency in Python and first experience TypeScript., • Technical Expertise: In-depth understanding of software engineering best practices, distributed systems, relational database design/optimization, and scalable API design., • AI Workflows: Experience with (or a strong, demonstrated interest in) adapting the SDLC for AI-assisted development., • Communication: Strong communication and coordination skills tailored for a distributed team environment spanning US and UK., • Domain knowledge in the Energy, Oil & Gas sectors., • Experience with geospatial data processing tools and databases., • Familiarity with additional languages, such as Go or C#., • Compensation: Competitive salary and comprehensive benefits (medical, dental, vision)., • Growth: Opportunities for career advancement as technical team member., • Flexibility: A fully remote role within a collaborative environment, plus optional access to our Houston office., • Impact: Direct involvement in products utilized by major players in the energy sector and government. Note: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The Impact You Will Have: As the Vice President of Data & AI, you will be the transformative force that turns our data into a strategic enterprise asset. Your vision will directly shape our competitive edge by fostering a data-first culture, driving the development of advanced AI and machine learning models to unlock new revenue streams, and dramatically improving operational efficiency. You will build and mentor a world-class team of data professionals, establishing the foundational data infrastructure and governance that empowers the entire organization to make smarter, faster, and more impactful decisions. Your leadership will be pivotal in defining not just our data strategy, but the future of our business. • Spearhead the company's entire Data & AI organization - encompassing data engineering, data science, machine learning, and analytics - to deliver transformative data products and AI-powered capabilities that drive business value., • Define and champion the company's comprehensive Data & AI strategy, establishing a clear vision for how data science, analytics, and machine learning will create a sustainable competitive advantage., • Own the architecture and roadmap for the company’s enterprise data platform, machine learning infrastructure (MLOps), and analytics ecosystem, ensuring robust scalability, reliability, and data integrity., • Serve as the executive data partner to the entire organization, collaborating with Product to embed AI into the user experience and with business leaders to foster a data-driven culture through actionable insights., • Establish and enforce a rigorous data governance framework, ensuring data quality, privacy, security, and compliance across the entire data lifecycle., • Implement and champion best practices in DataOps and MLOps to increase the velocity and reliability of data pipelines and model deployment. Foster a culture of rigorous experimentation and responsible AI development., • Build and scale a world-class organization of Data Scientists, ML Engineers, Data Engineers, and Analysts. Own the talent strategy for all data functions, from recruitment and retention to defining specialized career paths., • Mentor and develop a senior leadership team across the data and AI functions, building the technical and strategic capabilities required to solve the company's most complex challenges., • 15+ years of progressive experience in the engineering domain, with at least 8+ years in an international leadership capacity managing high-performing data engineering, data science, and/or machine learning teams., • A proven track record of delivering large-scale data platforms and productionized ML models that have resulted in significant, measurable business impacts (e.g., revenue growth, cost savings, enhanced user engagement)., • Deep technical expertise in the modern data and AI ecosystem, including cloud data platforms (e.g., Snowflake, Databricks, BigQuery), MLOps principles, ML frameworks (e.g., TensorFlow, PyTorch), and data orchestration technologies., • Exceptional communication and influencing skills, with the ability to articulate a compelling vision for data and AI and translate complex technical concepts into business value for an executive audience (C-suite, Board of Directors)., • Visionary leadership skills with the proven ability to recruit, mentor, and inspire a multi-disciplinary team of world-class data scientists, engineers, and analysts, fostering a culture of innovation, collaboration, and intellectual curiosity., • Expertise in establishing robust Data Governance and applying modern operational frameworks (DataOps, MLOps) to ensure data quality, compliance, and rapid, reliable delivery of data products and models., • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization., • We encourage usage of our robust time-off allocations with 27 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances., • We contribute 60% of the total cost for your pension; 13.5% to 15.5% of your base salary for savings; 2% for risk., • Generous discretionary Company Growth Bonus, paid annually., • Commuting:Sustainable mobility options, including carpooling and the refund of 60% of the annual transportation subscription., • Global workforce with employees in 20+ countries representing 35+ unique nationalities.

Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently ___ at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g., ___, ___), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts. You will operate as the executive technical counterpart to Enterprise Account Executives, leading complex evaluations, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads. This role is not demo support. It is a strategic, consultative position requiring strong architectural depth, executive presence, and the ability to influence 7–8 figure infrastructure decisions. You will work directly with CTOs, VPs of Engineering, and ML platform leaders to help them rethink how AI infrastructure should be built and operated. If you thrive in high-velocity technical sales environments and want to shape the infrastructure layer powering modern AI companies, this role is for you. * Own the technical strategy for large, complex enterprise accounts * Partner with Enterprise Account Executives to drive 6–7+ figure opportunities from qualification through close * Lead deep technical discovery across platform, ML, DevOps, and infrastructure stakeholders * Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal’s serverless infrastructure * Drive executive-level technical conversations that connect infrastructure architecture to business impact (velocity, cost efficiency, reliability) * Design and oversee proof-of-concepts that demonstrate production-grade scalability and performance * Navigate security reviews, compliance discussions, and procurement processes with confidence * Build durable relationships with technical champions and executive sponsors * Orchestrate cross-functional virtual account teams (Sales, Product, Engineering, Support) to ensure successful adoption * Influence Modal’s product roadmap by surfacing structured enterprise feedback * Mentor other Solutions Architects and contribute to technical best practices across the team * 5+ years in Solutions Engineering, Sales Engineering, or enterprise-facing technical roles in infrastructure, cloud, or developer platforms * Demonstrated success driving complex enterprise sales cycles ($250K+ ACV; experience with $1M+ ARR accounts strongly preferred) * Experience working with large, sophisticated Bay Area technology companies or global enterprises * Deep expertise in cloud infrastructure (AWS, GCP, Azure) including compute, networking, storage, and managed services * Strong architectural understanding of containers and orchestration (Docker, Kubernetes) * Experience designing distributed systems and production data platforms * Strong working knowledge of ML/AI infrastructure (training pipelines, inference systems, GPU workloads, MLOps) * Experience leading cloud migration or infrastructure modernization initiatives * Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD systems * Production programming experience in Python strongly preferred * Executive-level communication skills with the ability to influence technical and business stakeholders * Proven ability to lead cross-functional virtual teams in high-stakes account environments * Strong business acumen and understanding of enterprise procurement and buying processes * Willingness to travel up to 30%

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not always guarantee production success. This role exists to ensure that what we commit to with customers is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: • Revenue quality, • Engineering focus, • Product evolution, • Customer trust at scale You’re welcome to work remotely from the United States. Your responsibilities will include: Strategic Technical Discovery • Lead deep technical discovery with engineering teams and technical founders, • Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies, • Translate customer ambition into production-feasible architecture., • Identify hidden technical risks early Commercial Acceleration • Partner tightly with Sales on strategic deals, • Influence deal strategy through architectural clarity, • Prevent misaligned commitments before engineering allocation, • Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation • Define measurable success criteria (latency, TTFT, throughput, cost envelope), • Classify workload complexity and required optimization depth, • Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.), • Drive structured Go / No-Go decisions, • Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage • Identify recurring configuration patterns across customers, • Quantify demand for advanced optimizations (quantization, speculative decoding, etc.), • Surface structured insights to Product and Engineering, • Help evolve platform capabilities based on real workload data We expect you to have: • Deep understanding of AI inference systems and GPU-backed infrastructure, • Experience with LLM workloads and performance-sensitive environments, • Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM)., • Ability to reason about latency, throughput, cost, and architecture tradeoffs, • Strong customer presence with engineering-first organizations, • Comfort challenging assumptions and pushing back constructively, • Commercial awareness – you understand that engineering time is a strategic resource Preferred Technical Stack • Programming Languages– Python, • Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs, • Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent, • API and Web Frameworks– FastAPI, Flask, • MLOps and DevOps tools– Kubernetes (K8s), Docker, Git, • Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What Success Looks Like • Strategic deals are technically sound before engineering engagement, • PoCs are clearly scoped and economically justified, • Engineering capacity is allocated predictably, • Conversion to production improves, • Customers view you as a trusted architectural advisor Key employee benefits in the US: • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families., • 401(k) plan: Up to 4% company match with immediate vesting., • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers., • Remote work reimbursement: Up to $85/month for mobile and internet., • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, ranging from $152k - 228k base + RSU's and performance bonus's. What we offer • Competitive salary and comprehensive benefits package., • Opportunities for professional growth within Nebius., • Flexible working arrangements., • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Utilidata is a fast-growing NVIDIA-backed edge AI company enabling greater visibility and control of power utilization in energy-intensive infrastructure, like the electric grid and data centers. Karman, the company’s distributed AI platform powered by a custom NVIDIA module, is transforming the way utility companies operate the grid edge and will enable data centers to unlock more compute for the same provisioned power. We are seeking a DevOps Engineer to help design, build, and operate Utilidata’s off-device platform that ingests, processes, and serves data flowing from edge AI devices. The role will build and maintain infrastructure across on-premises and cloud environments - bridging edge deployments with cloud-based data processing to support analytics, operations, and ML workloads at scale. This is a hands-on development role with technical leadership responsibilities and with company wide impact. This engineer will architect and maintain the systems that keep our platform running, set technical direction for infrastructure and deployment practices, and mentor engineers. This engineer will partner closely with on device, and ML teams to ensure our off-device platform is resilient, well-instrumented, and ready to scale. This is a remote position based in the United States, working with distributed teams across the country. Responsibilities • Oversee the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability, • Contribute to strategic planning regarding how the infrastructure solutions evolve to match the requirements of Data Center partners, • Lead the design, implementation, and maintenance of scalable and reliable systems on AWS and/or on-premise, • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources, • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs), • Support SOC2 security compliance requirements for data handling, • Mentor and guide team members in DevOps practices, promoting a culture of reliability and excellence, • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention, • Collaborate with cross-functional teams to build and maintain CI/CD pipelines, • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions, • Participate in on-call rotations and incident response teams, • Assist in capacity planning, performance tuning, and technical decision-making, • Drive continuous improvement initiatives for processes and infrastructureMinimum Qualifications, • 8+ years of development experience including extensive experience in platform engineering, SRE, or distributed systems, with clear senior or principal-level impact, • Experience designing and operating infrastructure across on-premises and cloud environments, • Strong proficiency in container orchestration, particularly Kubernetes, • Strong proficiency with AWS services and architecture, • Hands-on experience with Terraform for infrastructure automation, • Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices, • Excellent problem-solving skills, leadership abilities, and attention to detail, • Strong communication and collaboration skills, with experience in driving technical outcomes, • Willingness to travel up to 20% of timeEnhanced Qualifications (Nice to Have), • Bachelor's degree in Computer Science, Engineering, or a related field, • Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure, • AI Workload scheduling using Kubernetes, • Knowledge of Apache Spark for large-scale data processing, • Knowledge of database technologies (SQL, NoSQL), • Understanding of networking concepts and security best practicesSalary Range: $180,000 to $210,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands. Location: This position can be performed remotely from anywhere in the United States. Our Commitments: Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws. We are committed to: • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful, • Empowering employees to solve problems and work together to make a difference, • Providing mentorship and growth opportunities as part of a collaborative team, • A flexible work environment with flexible paid time off, • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience. We connect people with their passions by combining cutting-edge technology and innovative risk strategies to make lifestyle purchases - like powersports vehicles, RVs, and OPE - fast, easy, and accessible. Octane adds value throughout the customer journey: inspiring enthusiasts with our editorial brands, including Cycle World® and UTV Driver®, instantly prequalifying consumers for financing online, routing customers to dealerships for an easy closing, and supporting customers throughout their loan with superior loan servicing. Founded in 2014, we’re a company with 550+ employees and over 30 OEM and 4,000 dealer partners. At Octane, we’re building innovative technology solutions that power smarter, faster, and more efficient decision-making. We are seeking an accomplished AI/ML Technical Lead to drive the design, development, and deployment of advanced machine learning solutions that scale seamlessly in production environments. In this role, you’ll shape the strategy for how AI is leveraged across the organization, partnering with cross-functional teams to translate business goals into technical solutions that are not only state-of-the-art, but also ethical, secure, and reliable. This position is ideal for a hands-on leader who thrives at the intersection of research and engineering. You will mentor engineers and data scientists, establish best practices for MLOps, and ensure models deliver consistent value long after deployment. With opportunities to explore cutting-edge fields like generative AI, large language models, natural language processing, and computer vision, you’ll play a pivotal role in setting the technical standard for Octane’s AI initiatives while guiding the team toward innovation and measurable impact. Responsibilities: • Lead the end-to-end design, development, and deployment of advanced AI/ML systems, ensuring production environments are scalable, efficient, and highly performant., • Collaborate with cross-functional teams to define AI strategy, evaluate use cases, and translate business objectives into actionable technical solutions., • Build, optimize, and maintain machine learning pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, and ongoing monitoring., • Establish and champion MLOps best practices, including CI/CD for ML workflows, automated testing frameworks, and continuous model performance monitoring to prevent drift., • Serve as a technical mentor and leader, guiding engineers and data scientists on system architecture, coding standards, and efficient development practices., • Research and evaluate emerging AI methodologies, frameworks, and tools, integrating innovative approaches into the organization’s technology stack where applicable., • Ensure AI solutions meet ethical, security, and compliance standards, including model explainability, bias mitigation, and data privacy requirements., • Partner with engineering leadership to set technical strategy, establish architectural guidelines, and define standards that shape the future of AI initiatives at Octane. Requirements: • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field with 5+ years of professional experience, or Bachelor’s degree with 8+ years of experience in AI/ML engineering., • Proven expertise with leading ML/DL frameworks such as TensorFlow, PyTorch, or JAX, with hands-on experience training and deploying models., • Strong programming proficiency in Python, with additional experience using languages such as C++ or Java for performance-critical applications., • Practical experience with MLOps tools and workflows, including MLflow, Kubeflow, SageMaker, or Vertex AI to streamline model lifecycle management., • Deep understanding of data engineering concepts such as data pipelines, preprocessing, and distributed computing, as well as hands-on experience with cloud platforms (AWS, Azure, or GCP)., • Demonstrated success designing, deploying, and optimizing AI/ML systems at scale, including model serving, monitoring, and iteration., • Strong communication and collaboration skills, with the ability to influence technical direction and align diverse stakeholders. Preferred Skills: • Experience with generative AI and large language models (LLMs), including prompt engineering and fine-tuning approaches., • Knowledge of advanced ML domains such as natural language processing (NLP), computer vision, reinforcement learning, or recommendation systems., • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes, to support scalable deployment., • Hands-on experience with infrastructure-as-code (IaC) tools, such as Terraform or Ansible, to enable automated and reproducible infrastructure management., • Contributions to the AI/ML community, such as open-source projects, conference presentations, or peer-reviewed research publications. Compensation: In addition to salary, Total Rewards include bonus eligibility, a stock option package, and benefits as outlined below. The role described above offers a base salary of $150,000 to $210,000 + bonus incentive eligibility. Your offer will be based on location, the alignment of your qualifications with the requirements of the job and internal equity. Benefits: • Robust Health Care Plans (Medical, Dental & Vision), • Generous Parental Leave, • Flexible Time Off (FTO) Policy - Time Off When You Need It, • Retirement Plan (401k) with company match!, • Educational Assistance/Tuition Reimbursement up to $3K/year, • Life Insurance (Basic, Voluntary & AD&D), • Short Term / Long Term Disability, • Robust Ancillary benefits including accident insurance, hospital insurance, etc, • Wellhub (Gympass) Wellness Benefit, • Powersports Safety Benefit Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment. #LI-MZ1 #LI-Hybrid

Job Locations US-NJ-Paramus ID 2026-1947 Category Information Technology Type Regular Full-Time The AI Engineer, Biz Ops will build the AIpowered services that form the backbone of our decisionintelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, productionready applications by designing inference pipelines, APIs, and supporting data flows. You will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AInative services. This includes building reliable batch and realtime inference systems that generate measurable impact across business operations-not limited to any specific domain. This is a highimpact role for engineers who enjoy turning research into products, hardening systems for realworld use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred. Productionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance. • Collaborate with AI Scientists to convert research prototypes into productionready components (feature computation, preprocessing, post-processing, evaluation loops)., • Integrate models with data pipelines built by Data Engineers and ensure seamless endtoend flow from raw data to AIdriven output., • Build and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and onprem environments., • Implement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments., • Establish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting)., • Partner with BizOps and Commercial stakeholders to transform manual workflows into AIenabled services that improve operational decisionmaking., • Optimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization., • Contribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related technical field., • Experience: 3+ years of software engineering experience, including building or deploying AI systems in production environments., • Skills:, • Strong proficiency in Python for services, pipelines, and ML tooling., • Experience deploying AI models in production across onprem or cloud environments (AWS or Azure)., • Experience with bigdata and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines., • Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control., • Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performanceoriented inference tooling. Strongly Preferred • Interest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring)., • Master's degree or higher in a relevant field., • Experience in regulated industries (e.g., biopharma, healthcare, and finance)., • A portfolio of launched AI/ML projects or contributions to production of AI systems., • Proficiency in SQL and familiarity with modern data warehouses such as Snowflake. Who Thrives in This Role • Engineers who enjoy transforming research into resilient, userfacing products., • Builders who balance rapid iteration with productiongrade engineering standards., • Collaborators who can partner with business teams to convert manual workflows into scalable AI services., • Pragmatic problemsolvers who can operate autonomously and drive impact in ambiguous, crossfunctional settings.

At 8th Light, we bring life to the best ideas. Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimize our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. If this kind of work and our kind of people energizes you, you’ve found the right place. You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: • Successfully contributed to high-stakes consulting engagements from discovery to production, • Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served, • Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate, • Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics), • Used context-appropriate automated testing to inform software design choices and catch bugs, • Debugged and refactored pre-existing code to incrementally improve it, • Collaborated with teams using Git, MacOS/Linux, and CI/CD, • Remedied architecture-level concerns such as scalability, security, reliability, and performance, • Contributed to forums that encourage idea sharing, collaboration, and problem solving, • Made thoughtful recommendations and set direction in the face of ambiguity, • Mentored and shared knowledge with colleagues, • Actively sought out and effectively given feedback, • Communicated empathically with stakeholders and colleagues, • Influenced stakeholders to balance technical considerations with product and user needs As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for: • Making immediate contributions to projects, rapidly building trust with your clients and team, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines, • Contributing to architecture and software design discussions, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring, • Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients, • Contributing to formal feedback conversations with teams and clients via retrospectives, • Clearly articulating and documenting outcomes and driving forward action items, • Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions, • Identifying, mitigating, and resolving blockers to team progress, • Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry, • Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate, • Confidently predicting the next World Series Win for the Chicago White Sox. We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: • MLOps: including tools like LangChain for application development and managing the ML lifecycle, • Data Engineering: including platforms like Databricks for data processing and analytics, • DevSecOps & DevOps, • Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. Our wellness package is designed with the Whole YOU in mind and includes: • A robust L&D program featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform, • Coworking support for our global team, • Flexible PTO, • 12 weeks of new parent leave available for eligible employees, • Transparent semi-annual promotion panel See our full list of ___. At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within Chicago, Illinois is: • $104,160-$130,200 USD Reach out to for more relevant information pertaining to your local market. As a remote-first company, 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. If you are hired into a hub, you will be a part of a team with regular rituals around co-working and community building. For team members outside of those cities, we offer access to coworking spaces to foster continued collaboration and connection across our global team. In most cases, our consulting engagements do not require travel. We hope to see you apply! #LI-Remote

The Department of Biomedical Engineering - Prof. Elham Azizi's Lab, is looking for a Staff Associate III to: Functional Knowledge (35%) - Develop advanced probabilistic and causal generative frameworks linking molecular to clinical data; design interpretable representation spaces for tumor-immune dynamics and therapy response. Technical Expertise (25%) - Engineer LLM and diffusion/flow-matching pipelines; integrate multi-GPU distributed training, experiment tracking, and MLOps automation. Problem-Solving Skills (15%) - Innovate adaptive fine-tuning, multi-task learning, and agentic reasoning strategies to improve generalization and data efficiency. Decision Making/Autonomy (10%) - Lead architectural and data design decisions; prioritize experiments aligned with program milestones; evaluate trade-offs between model accuracy and interpretability. Communication Skills (10%) - Present findings at internal symposia and external conferences; co-author manuscripts; write high-quality documentation and technical reports. Mentorship/Leadership (5%) - Mentor junior engineers and research assistants; provide guidance on causal inference methods and AI-in-loop experimentation. B.S./B.E. (minimum) in Computer Science, Biomedical/Electrical Engineering, Statistics, Bioinformatics, Applied Math, or related field. MS or PhD degree is preferred but not required. Required qualifications • Substantial expertise in training deep learning models and tuning large foundation models., • Expertise with developing efficient data loaders for large datasets and optimizing training workflows., • Deep knowledge of probabilistic modelling, self-supervised learning and representation learning, diffusion/VAE/flow matching architectures, • Strong Python, PyTorch/JAX, containerization & MLOps skills; familiarity with distributed training and modern experiment-tracking stacks, • Experience with AI coding tools (e.g., Copilot, Cursor) Preferred extras • M.S. or graduate-level degree in relevant field, • Experience with single-cell and spatial genomic or imaging data, and multimodal integration, • Expertise in statistical causal discovery and inference, • Publications or open-source contributions in generative models, • Strong interest in applications and driving impact in cancer biology and immunology 6+ years of experience in software engineering including: 3+ yrs hands-on experience training generative AI or large-language models at scale 2+ years experience with statistical or generative modeling Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

We're seeking talented MLOps Engineers with deep, hands-on expertise in modern ML frameworks — specifically JAX, PyTorch, and kernel-level programming (Pallas/Triton). Key Responsibilities - Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, tra

What we're looking for:** - Professional experience in machine learning model development, Python & ML frameworks (PyTorch/TensorFlow), model deployment & MLOps - Strong communication skills - Ability to work independently in a remote environment How it works: This is not a specific job posting.

Have extensive experience with developing and maintaining ML Models in a GCP environment & open to a long term contract? Apply today! This Jobot Consulting Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $75 - $95 per hour A bit about us: We are seeking an experienced AI/ML Consultant with strong expertise in Google Cloud Platform (GCP) and Sentiment Analysis/NLP technologies to support a high-visibility initiative with one of the world’s leading technology organizations. This consultant will work closely with engineering, analytics, and AI-focused stakeholders to enhance and optimize existing machine learning models focused on sentiment analysis, natural language processing, and large-scale data interpretation within a cloud-native GCP environment. The ideal candidate is highly hands-on, comfortable working in fast-paced consulting environments, and capable of quickly understanding and improving existing AI/ML workflows and models. Why join us? Contract / Consulting engagement Fully Remote Flexible part-time hours possible High-visibility AI initiative supporting a globally recognized technology organization If you enjoy solving complex AI/ML problems, improving real-world NLP systems, and working within cutting-edge GCP environments, we’d love to connect. Job Details Key Responsibilities Design, optimize, and maintain sentiment analysis and NLP models within GCP environments Improve model performance, accuracy, scalability, and reliability Work with existing codebases and AI pipelines to enhance current capabilities Analyze structured and unstructured datasets to identify trends, sentiment patterns, and actionable insights Collaborate cross-functionally with technical and non-technical stakeholders Validate model outputs and ensure accuracy across multiple datasets and use cases Support model training, testing, tuning, and deployment activities Contribute to AI/ML best practices, documentation, and process improvements Assist with troubleshooting and resolving model performance issues in production environments Required Qualifications Strong hands-on experience with Google Cloud Platform (GCP) Professional experience developing or supporting Sentiment Analysis and/or NLP models Experience with modern transformer-based models such as BERT, RoBERTa, or similar NLP architectures Strong Python development experience Experience training, evaluating, and deploying machine learning models Understanding of ML model evaluation metrics and performance optimization techniques Experience working with cloud-native AI/ML tooling and services within GCP Ability to work independently in a consulting or project-based environment Strong communication and stakeholder collaboration skills Preferred Qualifications Experience supporting enterprise-scale AI initiatives Familiarity with Vertex AI and related GCP AI/ML services Experience with MLOps concepts and CI/CD workflows for AI deployment Prior consulting experience supporting external clients or agency environments Experience working with large-scale datasets and real-time analytics pipelines Interested in hearing more? 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Senior Software Engineer Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their customers to extract actionable insight from their data at the point of collection and indefinitely in the future with the help of AI/Machine Learning. The product they offer allows their clients to monitor, manage, integrate, visualize, export, and analyze their data to inform decisions and streamline business. They are looking to double the team that they have currently of about 60 employees over the next year. They are a startup, and this is a very unique opportunity to join the team in their fastest growing stages. Location: Austin, TX and NYC (two openings) Salary: 200K-275K Bonus: annual and performance based 401K Match: n/a Benefits: Equity - Owners have a history of another startup that turned to IPO in 5 years. The company offers a generous equity plan to be a stakeholder and participate in the company's success. Position Summary As a Senior Software Engineer at Striveworks, you'll be challenged - and trusted - on day one to be a core contributor to the projects and direction of the company. You will be helping to develop data storage and streaming features, tooling, and automation for their next generation MLOps platform. You will be rapidly prototyping and delivering proofs of concept for customers. You will work alongside a team of Data Scientists to integrate their work into functional products. Requirements • 5+ years of relevant experience, • Proficiency with Python (most important) and Golang, • Strong SQL skills, • Comfortability with Docker and Kubernetes, • Typescript experience, • Experience with public (AWS, GCP, Azure) and/or private (OpenStack) clouds, • Hadoop, Hive, or Spark experience

Senior Software Engineer Job Description Company description: Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals. Overview: As a Manager Software Engineering, you will be the senior hands-on engineer in a cross-functional Alpha Labs team. Your mandate: turn cutting-edge generative-AI research and data-science insights into live demonstrations that differentiates Publicis in competitive pitches and large-scale client engagements. You will architect and build cloud-native services, GenAI-powered prototypes and intelligent APIs, then collaborate with data scientists, audience strategists, creatives and media technologists to embed those solutions across the connected consumer journey. Responsibilities: • Design, build and own backend services, microservices and cloud functions (AWS, Azure, Databricks) that power GenAI and data science workflows., • Integrate and experiment with GenAI APIs (OpenAI, Claude, proprietary LLMs) and agent/tool frameworks; implement retrieval augmented generation and vector database pipelines where useful., • Rapid prototype novel audience intelligence or ad tech concepts for new business pitches; evolve proofs of concept into scalable products., • Collaborate with data scientists to operationalize predictive segmentation, targeting and measurement models., • Act as the technical lead within the squad: set coding standards, review PRs and mentor engineers., • Translate complex AI/ML ideas into clear narratives for creative, media and C suite audiences., • 6+ years professional software-engineering experience (or 4+ years with a relevant advanced degree)., • Expert-level Python plus proficiency in at least one additional modern language (TypeScript/JavaScript, Java, Go, Dart, etc.)., • Hands-on experience calling or fine-tuning GenAI/LLM APIs (e.g., GPT-4o, Claude, Gemini) and integrating them into user-facing or service-layer applications., • Working knowledge of front-end or mobile frameworks (React, Next.js, Flutter, etc.)., • Prior work with AI-agent orchestration, vector databases (Pinecone, Weaviate, PGVector) or LangChain/LlamaIndex., • Experience deploying models or apps in Databricks and using MLflow or similar MLOps tooling., • Familiarity with marketing-tech or ad-tech domains, including identity graphs, segmentation and measurement. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. Compensation Range: $87,210 - $154,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 04/01/2026. All your information will be kept confidential according to EEO guidelines. Veterans Encouraged to Apply.

Senior Lead Software Engineer - ML Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer - ML at JPMorgan Chase within the Consumer & Community Banking (CCB) line of business, you serve as a seasoned member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. You will design and deliver trusted, market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You are responsible for implementing critical technology solutions across multiple technical areas to support the firm's business objectives and drive innovation in ML platform capabilities. Job Responsibilities • Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows., • Develop and optimize tools for model training, deployment, monitoring, and lifecycle management., • Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions., • Implement secure, high-quality production code for platform services, APIs, and automation pipelines., • Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations., • Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement., • Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices., • Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services., • Formal training or certification on software engineering concepts and 5+ years applied experience, • Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure, • Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), • Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL), • Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure, • Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring, • Experience developing APIs and platform services for ML workflows, • Solid knowledge of the software development life cycle and agile methodologies, • Familiarity with Databricks for scalable data engineering and ML platform integration, • Experience working with Snowflake for cloud-based data warehousing and analytics, • Exposure to Snorkel AI for programmatic data labeling and training data management, • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow), • Familiarity with feature stores, model registries, and ML metadata management, • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans About the Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Google Platform Engineer We're partnering with a leading financial services client in NYC to hire a hands-on Google Platform Engineer. This role focuses on building, automating, and scaling a GCP environment that supports critical trading and transaction processing systems. Ideal candidates will bring strong cloud engineering experience along with an understanding of financial systems and data flows. Responsibilities • Design, build, and maintain scalable infrastructure in Google Cloud Platform (GCP), • Support platforms tied to trading systems and transaction processing workflows, • Manage and optimize core GCP services including Compute Engine, GKE, Cloud Storage, and BigQuery, • Develop Infrastructure as Code using Terraform or similar tools, • Build and maintain CI/CD pipelines for reliable deployments, • Monitor performance, troubleshoot issues, and ensure high availability, • Partner with security teams to enforce cloud best practices and compliance standards, • 5+ years of experience in cloud or platform engineering, • Strong hands-on experience with Google Cloud Platform (GCP), • Experience with Kubernetes (GKE preferred) and containerized environments, • Proficiency with Terraform or other IaC tools, • Experience with CI/CD tools (GitHub Actions, Jenkins, etc.), • Strong scripting skills (Python, Bash, or similar), • Experience working in financial services environments, • Exposure to trading systems or transaction processing platforms strongly preferred, • Experience with data platforms such as BigQuery, • 12-month contract with potential for extension, • Hybrid role based in New York City