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Principal Quant Developer The Role The Quantitative Research & Investing Technology (QRIT) team within Fidelity's Asset Management Technology group is seeking a highly motivated and curious Principal Quantitative Developer. In this role you will contribute to a dynamic and fast-paced development team supporting researchers in prototyping and delivering new systematic investment strategies. You will provide high impact solutions on various projects including alpha research, portfolio construction, and risk management. Your technology knowledge covers a broad spectrum of technologies, including R, Python, and PL/SQL databases, positioning you as a full-stack software engineer who capitalizes on enterprise technology. You are committed to constructing high-quality, scalable, robust, resilient and efficient analytical and software solutions that propel investment processes forward. You will possess: • A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role., • Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role., • This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques. The Expertise and Skills You Bring Core Engineering • Expert in Python with experience across the development stack (full stack), • Exposure to object-oriented programming (OOP) and design patterns, • Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies, • A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability Data & Infrastructure • Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph, • Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask), • Proven ability to construct and manage robust data pipelines and event-driven workflows, • Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2 DevOps & CI/CD • Experience in containerization with Docker and orchestration with Kubernetes, • Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub, • Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management MLOps & AI Infrastructure • Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning), • Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models, • Familiarity with experiment tracking and model versioning tools (e.g., MLflow), • Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics, • Awareness of responsible AI governance practices, • Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset Quantitative & Domain Knowledge • Demonstrated knowledge of mathematics, statistics, and quantitative finance, • Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis, • Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms, • Domain knowledge in either equities, fixed income or alternative asset classes, • Progress towards CFA (or equivalent) a plus Collaboration & Communication • Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals, • Strong problem-solving skills, with a proven ability to work effectively in cross-functional teams, • A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community, • Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation, • Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace, • Demonstrates eagerness and aptitude for rapidly adopting new frameworks, technologies, and best practices The Team The Quant Development team is part of Asset Management's Quantitative Research & Investment Technology group. We partner with Asset Management's Advance Strategies and Research team on cutting edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and GenAI. We build high quality, robust, and highly-scalable solutions that are used to improve Asset Management's efficiency and decision-making processes. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of _ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Information Technology

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". As Lead Software Engineer, you will drive technical direction and execution for robust, scalable, and maintainable enterprise software solutions within our cloud-first environment. You will champion engineering discipline by enforcing coding standards, architectural principles, and best practices throughout the development lifecycle. This role is pivotal in guiding engineers, conducting thorough code reviews, leading by example in modern engineering practices, and fostering a culture of continuous improvement and technical excellence. You will also architect and integrate AI-powered features using Azure AI Services, helping deliver intelligent solutions that align with our business objectives. Responsibilities • Lead the design, development, and deployment of cloud-native, full-stack applications with .NET and Azure, ensuring scalability, performance, and reliability., • Establish and enforce coding standards, design patterns, and architectural guidelines across software projects., • Champion best practices in automated testing, CI/CD pipelines, Infrastructure-as-Code (Terraform, Bicep, ARM), and rigorous documentation., • Architect and integrate AI capabilities using Azure AI Services (Cognitive Services, ML, OpenAI, Bot Services) for predictive analytics, NLP, and intelligent automation., • Conduct code reviews, provide constructive feedback, and mentor engineering talent in cloud-native, AI, and agile delivery practices., • Collaborate with product, QA, and cross-functional teams to clarify requirements, refine technical solutions, and deliver features aligned to business needs., • Continuously evaluate and adopt new technologies, tools, and methodologies to improve productivity, quality, and security., • Ensure adherence to enterprise software quality, performance, and compliance requirements. Qualifications • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline., • 7+ years of hands-on experience in software engineering and architecture, with deep knowledge of .NET (C#, ASP.NET Core) and Azure cloud services., • Advanced proficiency in Azure AI Services for developing and deploying enterprise AI-driven solutions., • Expertise in microservices, API-first design (REST/GraphQL), event-driven systems, and container orchestration (Docker, Kubernetes)., • Proficiency in DevOps, CI/CD, Infrastructure-as-Code, and Agile/Scrum/SAFe methodologies., • Strong code review, testing, problem-solving, and leadership skills., • Experience integrating AI features via REST APIs or SDKs into business applications., • Business Process Management (BPM) implementation experience, especially with Pega, is a plus., • Experience in regulated industries (e.g., Property & Casualty insurance) preferred. Nice to Have • Experience with Python, and familiarity with machine learning/deep learning frameworks such as TensorFlow and PyTorch., • Hands-on with additional BPM tools (Camunda, Appian)., • Front-end frameworks (Angular, React), advanced SQL, and data streaming technologies (Kafka, RabbitMQ)., • Knowledge of data privacy, compliance, and security requirements for cloud and AI adoption., • Demonstrated ability to lead the full lifecycle of modeling software adoption-including evaluation, implementation, and integration into enterprise systems and business processes. Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our _. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $130,000.00 - USD $176,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals. EisnerAmper is seeking an AI Platform Architect who will serve as the technical backbone of EisnerAmper's AI transformation, owning the performance, reliability, and cost-efficiency of the EisnerAI Platform. This role is purpose-built to accelerate our journey to 1,000 deployed AI agents by designing and optimizing the infrastructure that powers every solution-from intelligent tax preparation to agentic audit workflows. The Platform Architect will benchmark and evaluate LLMs, codify AI and data governance into platform guardrails, build executive-grade reporting, and relentlessly drive cost and performance optimization across the entire AI stack. Reporting to the AI Development Lead, this is a high-impact, high-visibility role at the intersection of architecture, AI engineering, and strategic operations. A critical dimension of this position is mentoring and developing talent across organizational boundaries-partnering with IT infrastructure teams, the AI Advisory service line, and functional business units to build platform fluency and AI capability firmwide. You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry You will have the flexibility to manage your days in support of our commitment to work/life balance You will join a culture that has received multiple top "Places to Work" awards We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions We understand that embracing our differences is what unites us as a team and strengthens our foundation Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work Architect and scale the EisnerAI Platform on Azure, designing core data, application, and agentic layers to support growth toward 1,000+ AI agents Codify AI governance policies (NIST AI RMF, PCAOB, Section 7216) into enforceable platform-level controls, automated compliance checks, and governance-as-code pipelines Serve as a technical mentor and cross-functional leader, elevating AI platform capabilities across IT, AI Advisory, and engineering teams Lead AI performance engineering across the firm's LLM ecosystem - benchmarking models (GPT-4o, o3, etc.) for accuracy, latency, cost, and quality to drive model selection and routing strategy Build and operate a real-time AI performance monitoring layer tracking hallucination rates, retrieval precision, adoption, cost-per-interaction, and ROI Optimize prompts, model configurations, and routing strategies to maximize output quality while reducing token consumption and overall platform cost Own AI cost management across Azure AI Foundry and related services, implementing intelligent model routing, caching, and token budgeting to continuously lower cost-per-agent Ensure all AI deployments meet regulatory, risk, and firm data governance standards prior to production Deliver executive and board-level dashboards translating AI performance, adoption, and cost metrics into clear business value narratives Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field 8+ years of experience in cloud platform architecture, infrastructure engineering, or AI/ML platform development 5+ years of hands-on experience with Microsoft Azure services (AI Foundry, Azure OpenAI, Cosmos DB, ADLS, Purview, AI Search) 3+ years of experience benchmarking, evaluating, and optimizing LLM-based systems in production environments Master's degree preferred (Computer Science, AI/ML, Cloud Architecture, or MBA with technical focus) Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent certifications strongly preferred Data Platforms: ADLS Gen2, Cosmos DB, Azure SQL, Azure Synapse/Databricks for analytics and data engineering AI Search & RAG: Vector search, semantic ranking, knowledge mining, and retrieval pipeline optimization Governance & Compliance Tooling: Microsoft Purview, Azure Policy, data lineage, and audit logging frameworks Monitoring & Observability: Azure Monitor, Application Insights, Log Analytics, custom dashboards (Power BI, Grafana) Programming Languages: Python, C#, TypeScript, SQL, Bicep/Terraform DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes, CI/CD pipeline design Cost Management: Azure Cost Management, FinOps practices, token-level cost tracking and optimization Proven track record of designing and implementing data governance frameworks and compliance controls at enterprise scale Experience managing cloud cost optimization initiatives with demonstrated savings outcomes Demonstrated experience mentoring technical and non-technical teams across organizational boundaries, including IT, advisory, or consulting functions Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future. EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law. EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients. Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com #LI-JK3 #LI-Hybrid Philadelphia

Title: Lead Solutions Engineer - Data Marketplace Duration: 6 months Location: Hybrid in Washington, NJ (3 days onsite per week) Role Summary We are seeking a Solutions Engineer with strong Informatica platform experience and deep automation and integration engineering expertise to design, architect, and deliver end-to-end solutions that enable an enterprise data marketplace and broader data platform capabilities. This role is hands-on and cross-cutting, requiring the ability to architect solutions both within Informatica-including metadata, catalog, integration, governance, data quality, and automation capabilities-and outside of Informatica, integrating with cloud platforms, data engineering ecosystems, analytics tools, and AI-enabled services. The role requires broad technical depth, strong architectural judgment, and a focus on building automated, scalable, and resilient integrations. You will partner closely with product managers, platform teams, data engineers, security, governance, and business stakeholders to evolve the data marketplace and supporting enterprise data services. Key Responsibilities Solution Architecture & Design • Architect end-to-end data marketplace and data platform integrations spanning Informatica products and non-Informatica enterprise tooling., • Design scalable, secure, and reliable architectures with an automation-first and integration-by-design mindset., • Define reference architectures, integration patterns, and extensibility models for marketplace, metadata, governance, and data product use cases. Informatica Platform Enablement, • Design and implement solutions using Informatica capabilities such as data integration, metadata management, data catalog, governance, data quality, and automation services., • Configure and extend Informatica platforms to enable automated data product onboarding, discovery, lineage capture, access workflows, and marketplace interactions., • Partner with Informatica product and professional services teams to close functional gaps, extend platform capabilities, or enable bespoke integrations when required. Automation & Integration Engineering, • Design and build automated integrations across Informatica and enterprise platforms using APIs, events, workflows, and orchestration frameworks., • Enable automation across the data product lifecycle, including onboarding, metadata synchronization, lineage propagation, access provisioning, and de-provisioning., • Build reusable integration components and automation frameworks that reduce manual effort and improve reliability and consistency., • Apply infrastructure-as-code, configuration-as-code, and workflow automation patterns where appropriate. Marketplace & Platform Development, • Lead the design and evolution of internal data marketplace services, APIs, and supporting platform components., • Build and validate proof-of-concepts to de-risk architectural decisions and demonstrate business and platform value., • Support platform extensibility for future use cases, including analytics enablement, AI/ML workflows, agent-driven consumption, and governance integrations. Cross-Functional Collaboration, • Translate business, governance, and platform requirements into automated, implementation-ready technical designs., • Collaborate with data engineering, cloud engineering, security, and governance teams to ensure alignment with enterprise standards., • Act as a technical bridge between platform teams, marketplace consumers, and external vendors. Engineering Excellence & Leadership, • Establish and promote best practices for solution design, automation, performance, security, observability, and reliability., • Provide technical guidance and mentorship to engineers across marketplace, platform, and integration initiatives., • Participate in architectural reviews, technical decision-making, and roadmap planning. Required Skills & Qualifications, • 6+ years of experience designing and delivering enterprise-grade solutions in distributed, cloud-based environments., • 3+ years of hands-on experience architecting and implementing solutions using Informatica platforms, including data integration, metadata management, data catalog, governance, data quality, and automation., • 3+ years of experience in cloud platforms (e.g., AWS, Azure, or equivalent), designing and integrating data and platform services in cloud-native or hybrid environments., • 3+ years of experience in automation and systems integration, including API-based integrations, workflow orchestration, and event-driven architectures., • Demonstrated ability to design solutions that span multiple systems and vendors, not confined to a single platform., • Experience taking solutions from concept and prototype through production in complex enterprise environments., • Strong problem-solving skills with the ability to operate effectively in ambiguous, evolving problem spaces., • Excellent communication skills, with experience explaining complex technical concepts to both technical and non-technical stakeholders. Preferred Qualifications, • Experience with data marketplaces, data products, or enterprise platform enablement initiatives., • Familiarity with governance, access control, metadata, lineage, data contracts, or policy-driven automation., • Experience integrating analytics platforms, semantic layers, or AI/ML workflows with data platforms., • Prior experience in a solutions engineer, platform architect, or technical lead role., • Strong interest in automation, developer enablement, and continuous platform improvement.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools., • Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain., • Understanding of MLOps workflows and model deployment pipelines. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Contributions to open-source ML projects or published research. Benefits • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job DescriptionDescription: On-site in Jersey City, NJ Our client seeks a senior software engineer to lead design and development of next-generation electronic trading systems and data infrastructure. The role requires hands-on leadership building scalable, resilient, and high-performance platforms for capital markets, with emphasis on KDB+/q, Python, and AI/ML applied to time-series data. You will collaborate across quant, product, and engineering teams, mentor peers, and deliver robust production systems that support research, backtesting, and real-time trading workflows. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80.00 to $90.00/hr. w2 JN -052026-107108 Responsibilities: • Lead design and development of low-latency, high-throughput trading systems and workflows., • Design, develop, and optimize KDB+/q databases and analytics for high-volume market data., • Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation., • Apply machine learning techniques to time-series data including feature engineering, model training, and evaluation., • Build research and backtesting frameworks integrating AI models with historical data., • Translate quantitative and ML research into production-ready, resilient systems., • Integrate AI models into real-time and batch pipelines., • Optimize analytics and model evaluation for performance, stability, and scalability., • Collaborate with quants, product owners, and engineering on deployment and monitoring., • Support production systems and participate in on-call rotations, including occasional weekend support. Experience Requirements: • 10+ years of professional experience in quantitative finance or trading systems., • Advanced proficiency with KDB+/q for time-series modeling, high-performance querying, and real-time and historical analytics., • Strong Python for quantitative analysis, AI/ML model development, and integration with KDB+ and downstream systems., • Experience with large-scale, high-frequency, or noisy datasets., • Solid software engineering practices including Git, testing, and modular design., • Experience with AI developer assist tools such as GitHub Copilot., • Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy., • Hands-on experience with AWS or other cloud platforms., • Familiarity with Java or other object-oriented languages., • Experience with Linux, shell scripting, and production support., • Clear communication with quants, traders, and engineers. Education Requirements: • Bachelor’s degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact fraud@eliassen.com. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is seeking a Senior Control Systems Engineer to work on the design of the control system for the company’s Eos integrated stellarator. This role will define the overall control system architecture, select core technologies, design platforms, and manage technical interfaces between all major control subsystems including plasma control, power supply control, cryogenic control, safety systems, and data acquisition. As a senior technical engineer, this role will work closely with subsystem teams, vendors, and collaborators to ensure that the architecture meets real-time performance, reliability, scalability, and regulatory requirements. This role is pivotal in shaping the next-generation control infrastructure for one of the most innovative stellarator-based fusion pilot plants in development. As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. This role will have a high degree of autonomy and must be able to move quickly. The Thea Energy team is comprised of self-motivated, creative, and fun individuals with an excitement for solving complex problems.Key Responsibility Areas: • Lead the definition of the Eos control system architecture (functional, physical, and communication layers)., • Select core technologies for real-time control, SCADA, networking, timing, and data management., • Develop high-level system specifications, interface control documents (ICDs), and system block diagrams., • Oversee integration and coordination of control subsystems., • Ensure consistency across communication protocols (e.g. OPC UA, DDS, Modbus, EPICS)., • Contribute to the selection of PLC/DCS platforms for safety- and mission-critical systems., • Work with the AI/ML and Plasma Control teams to integrate predictive control and digital twin functionality into the architecture., • Support development of conceptual and preliminary design packages, including architecture reviews and validation plans., • Collaborate with systems engineering to ensure alignment with the overall plant functional architecture and TRL maturity goals.Ideal Experience & Skillsets:, • Bachelor’s or Master’s degree in Electrical Engineering, Control Systems, Physics, or related field., • 5+ years of experience in control system design for fusion energy, particle accelerators, large scientific facilities, or similar high-reliability environments., • Strong proficiency with EPICS or TANGO control frameworks, Simulink and MATLAB for system modeling and simulation, SysML/UML for system-level architecture and documentation, and OPC UA, DDS, TCP/IP, PTP/White Rabbit communication protocols., • Experience with high-speed data acquisition, real-time systems, and distributed control., • Knowledge of IEC 61508 / 61511 or other safety-related standards., • Familiarity with PLC platforms (e.g. Siemens, Beckhoff, Allen-Bradley)., • Experience working in multi-disciplinary teams and managing technical vendors., • Hands-on experience with FPGA or embedded systems is a plus., • Previous experience in early-phase fusion device development is highly desirable.Company Benefits:, • Salary range $95,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTORequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call., • Ability to work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, high voltage, high current, pressure systems, and cryogenics.It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. 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.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance., • Growth: Ongoing technical learning, certification reimbursement, and leadership development.Equal Opportunity Statement At MAS Global, diversity and inclusion are at the heart of our identity. We celebrate individuality and believe that everyone deserves a fair opportunity to grow and succeed. We are proud to be a woman-owned, minority-led company and an equal opportunity employer. Powered by JazzHR 1Vxvxla96D

Job Description POSITION: Software Engineer - ERP, Systems Integration & AI Automation REPORTS TO: Manager of IT LEVEL: Mid-level, hands-on technical contributor OBJECTIVE: Support, maintain, and improve Verrex's internal ERP/business system on Red Hat Enterprise Linux, the company's primary business platform. Help ensure reliable tools, accurate data, practical reporting, integrations with systems such as Salesforce, and responsible use of AI-enabled tools such as Microsoft Copilot, Copilot Studio, Power Automate, or similar platforms where they improve ERP workflows. COMPENSATION: Salary, exempt (non-hourly), monthly cell phone stipend. 40 hours per week. The majority of work time is expected to fall within normal Verrex business hours of 8:00 a.m. to 5:00 p.m., Monday through Friday, with a 1-hour lunch. BENEFITS: Verrex offers a comprehensive benefits package to support the health, well-being, and financial security of our employees. Benefits include: • Medical, dental, and vision insurance (VSP), • Company-sponsored 401(k) plan with matching contributions, • Company-paid life insurance and AD&D coverage ($50,000), • Long-term disability (LTD) insurance, • Optional supplemental life insurance available for purchase, • Healthcare and Dependent Care Flexible Spending Accounts (FSAs), • Access to AFLAC supplemental insurance products This benefits summary is intended as a general overview and is subject to the terms and conditions of the official plan documents. ROLE SUMMARY: The Software Engineer - ERP, Systems Integration & AI Automation is a hands-on, mid-level role for a developer who can troubleshoot, learn quickly, and work across business systems. The ideal candidate has solid software development fundamentals, is comfortable working in Linux and SQL, and is eager to support users, build integrations, and evaluate practical AI-assisted improvements. The focus is applying available tools responsibly to improve ERP support, reporting, workflow automation, documentation, and user productivity. RESPONSIBILITIES: • Support and maintain Verrex's internal ERP/business applications, including order entry, job control, work orders, job tracking, job performance, bar coding, purchasing, shipping/receiving, reporting, and related operational processes., • Troubleshoot production issues, identify root causes, test fixes, and communicate status clearly to users and management., • Develop, modify, and maintain software features, reports, forms, scripts, database queries, data imports/exports, and workflow improvements., • Build and support integrations between the ERP and other business systems, including Salesforce, using APIs, database connections, scheduled jobs, file-based transfers, webhooks, middleware, or other appropriate approaches., • Identify, prototype, and support practical AI-enabled ERP improvements using Microsoft Copilot, Copilot Studio, Power Automate, AI-assisted development tools, or similar platforms; validate use cases for data quality, permissions, security, accuracy, human review, and maintainability., • Work with management and end users to understand business requirements, document needs, define scope, and translate requirements into practical solutions., • Maintain and improve data accuracy, system reliability, access controls, error handling, integration monitoring, and automation safeguards., • Create and maintain technical documentation, user guides, support notes, integration documentation, and AI/automation playbooks in a company wiki or documentation platform., • Use version control, issue tracking, and support tools to track development work, user requests, bugs, automation requests, and resolutions., • Provide end-user training and knowledge transfer to IT/network operations team members so they can assist with day-to-day support., • Stay current on relevant development tools, platforms, integration methods, AI-assisted business tools, and best practices, and learn new technologies as business needs evolve., • Attend meetings in Mountainside, NJ or by conference call/video as needed and complete administrative tasks such as time entry, status updates, and expense reports when applicable. REQUIRED QUALIFICATIONS: • Mid-level experience in software development, business systems support, ERP support, systems integration, or a similar technical role., • Practical experience with SQL and relational databases, including writing queries, troubleshooting data issues, and supporting reporting needs., • Comfortable working in a Linux environment, preferably Red Hat Enterprise Linux, including command-line tools, file permissions, logs, services, and basic troubleshooting., • Experience with web application technologies such as PHP, JavaScript, HTML, CSS, jQuery, Apache, or similar technologies, with willingness to support both legacy and modern codebases., • Understanding of APIs and data integrations, such as REST/SOAP APIs, JSON/XML, webhooks, scheduled jobs, CSV imports/exports, SFTP, or middleware., • Practical interest in AI-assisted business tools and ability to learn platforms such as Microsoft Copilot, Copilot Studio, Power Automate, or similar tools without needing to be an AI/ML specialist., • Familiarity with version control, preferably Git, and issue tracking/support ticketing tools such as Mantis, Zendesk, Jira, or similar., • Ability to learn unfamiliar systems quickly, investigate problems independently, ask good questions, and follow through until issues are resolved., • Strong communication skills, good documentation habits, attention to detail, and judgment when handling company data in integrations, automation, and AI-assisted workflows. PREFERRED/NICE TO HAVE: • Experience integrating with Salesforce or supporting Salesforce-connected business processes., • Exposure to Microsoft Copilot, Copilot Studio, Power Automate, Power Platform, chatbots, AI assistants, or similar business automation tools., • Experience supporting ERP, order management, job tracking, purchasing, warehouse, inventory, barcode, shipping/receiving, or financial/operations systems., • Experience with scripting or automation using Python, shell scripting, PHP, or similar tools., • Experience with reporting tools, dashboards, data extracts, ETL, business intelligence processes, or AI-assisted report summarization., • Basic understanding of system security, data validation, backups, logging, change control, and responsible AI/data governance practices., • Experience working in a small-to-mid-size business environment where flexibility, practical problem solving, and cross-functional collaboration are important. SUCCESS IN ROLE • Learns the ERP system and Verrex business processes well enough to become a dependable support resource., • Solves problems pragmatically without needing every answer provided in advance., • Recognizes where integrations, automation, reporting improvements, or AI-assisted tools can improve operations without overcomplicating the system., • Communicates progress, risks, assumptions, and tradeoffs clearly., • Writes maintainable code and clear documentation., • Balances daily support needs with project work and continuous improvements., • Is curious, adaptable, reliable, and willing to learn whatever tools or skills are needed to support the business. TECHNOLOGY ENVIRONMENT:This role may work with some combination of Red Hat Enterprise Linux, Apache/web servers, PHP, SQL databases, JavaScript/jQuery/HTML/CSS, Salesforce, APIs, data imports/exports, reporting tools, Git, Mantis, Zendesk, Replicon, company wiki/documentation tools, Microsoft Copilot, Copilot Studio, Power Automate, Power Platform, AI-assisted development tools, and other business systems. Specific tools may change over time; the ability to learn and adapt is essential. This job description may be revised at any given time by Verrex Management. Employee Handbook Please refer to the Verrex Employee Handbook for company policies on such issues as employment wages, salary, benefits, services, reimbursable expenses, employee communications, safety, health, standards of conduct, and corrective action. Equal Opportunity Employer Statement Verrex is proud to be an equal opportunity employer. We are committed to creating an inclusive, respectful workplace where everyone can thrive.

Direct message the job poster from SPECTRAFORCELead Recruiter at SPECTRAFORCE TechnologiesLocation: RemoteDuration: 6 Months (Contract To Hire)OverviewAs a Cloud Engineer within the AWS AI/ML platform team, you will have the opportunity to work one-on-one with application and infrastructure develope

Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. Formal training or certification on software engineering concepts and 5+ years of applied experience. Computer Science, Electrical Engineering, Math

Hands-on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments. Conduct and guide research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and

You will collaborate with us to solve large scale relevance and ranking problems, engineer scalable features, and engage in ML Ops work. As a Senior Machine Learning Engineer in our Digital Intelligence team, you will have the opportunity to work on exciting end-to-end machine learning problems and

Genesis10 is seeking an experienced Software Engineer based in Woodbridge Township, New Jersey. You will be responsible for consulting on complex software initiatives, designing and deploying AI applications, and collaborating with teams to enhance integration. The ideal candidate will have over 5 y

A leading financial institution is seeking an Applied AI/ML Lead to revolutionize client services through AI technology.

Job Description Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by SpeechifySIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We don't just hand customers a product and wish them luck — every customer gets a Forward Deployed Engineer who builds their agents, joins their Slack, and iterates with them weekly. We're building the future of voice AI, and we're looking for someone who can sell that vision and help bring it to life About the Role As an Account Executive / Go-to-Market, you're equal parts dealmaker and builder. You'll own the full sales cycle for new customers — from first call to close — while also getting hands-on during technical evaluations, demos, and early deployment. You understand that selling voice AI isn't just about pitching features; it's about showing prospects exactly how SIMBA fits into their world and making that first integration feel effortless. This is a rare role for someone who can command a boardroom and open a terminal. What You'll Do • Own the full sales cycle from prospecting through close for mid-market and enterprise accounts, • Run technically deep discovery calls to understand customer use cases, tech stack, and integration requirements, • Build and demo custom voice agent prototypes during the sales process to accelerate buy-in, • Partner with Forward Deployed Engineers to ensure a seamless handoff from sale to onboarding, • Develop GTM playbooks, messaging, and outbound strategies to help SIMBA break into new verticals, • Represent customer needs internally, influencing product roadmap and packaging decisions, • Maintain a clean pipeline in CRM and accurately forecast revenueWhat We're Looking For, • 3–6 years of experience in a sales, account executive, or GTM role at a technical B2B company, • Track record of closing deals with both technical buyers (CTOs, engineers) and business stakeholders, • Comfortable getting hands-on with APIs and no-code/low-code tools to build compelling demos, • Strong understanding of the AI/ML or voice technology landscape — you follow this space closely, • Exceptional communicator who can simplify complex technical concepts without losing their depth, • Highly self-directed with strong pipeline discipline and a bias toward actionNice to Have, • Experience selling AI, voice, or conversational technology, • Familiarity with telephony infrastructure, contact centers, or customer experience platforms, • Prior experience in a forward deployment or solutions engineering capacity, • Multilingual or experience selling into international marketsWhy Speechify SIMBA, • Sell a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself, • High ownership role with direct input on GTM strategy and positioning, • Work alongside a team that stays embedded with customers, so you're never selling something that doesn't deliver, • Competitive base + commission, equity, and benefits, • Fast-moving startup environment where your wins have outsized impact The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Hands‑on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments. Join our dynamic team of innovators and technologists as an Applied AI/ML Lead, where your mission will be to revolutionize how the Bank services and advises c

Background in mentoring or leading small engineering teams. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Write clean, efficient, and well-documented code, following best software engineering practices.

Location - Jersey City (Remote).Strong expertise in guidewire policy center and guidewire claim center configuration and customization.Proficiency in guidewire data model, rules, and integration technologies.Ability to translate business requirements into technical solutions within guidewire platfor

About the job Lead Application Developer (WAM) Permanent Remote Position Job Summary: Company is seeking a Technical Lead Application Development WAM (Work and Asset Management) responsible for technical support of Client's Enterprise Asset Management (EAM) and Mobile Workforce Management (MWM) appl

Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more.

Fabric Analytics Engineer Associate, Azure Data Engineer Associate). The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. Bachelor's degree in Computer Science, Engineering, Inform

Proficiency in data modeling, data engineering, and analytics tools including Power BI, SQL, and Python (pandas, numpy).

A leading recruitment firm is seeking a Lead Application Developer (WAM) to provide technical leadership for Enterprise Asset Management (EAM) and Mobile Workforce Management (MWM) applications.Applicants should have extensive experience with IBM Maximo EAM, a Bachelor's degree in Computer Science,

Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Partner with software engineers to integrate solutions with business platforms. Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science,

Proficiency in data modeling, data engineering, and analytics tools including Power BI, SQL, and Python (pandas, numpy).

Sr Python Developer with financial exp.Ideally looking for applicants with a solid background in the financial services industry.Looking for candidates who doesn't need sponsorship.The rate may be negotiable based on experience, education, geographic location, and other factors.Job Description for P

Reference Data Services Analyst - Client Onboarding - APAC Shift.Working at Citi is far more than just a job.A career with us means joining a team of more than 230,000 dedicated people from around the globe.At Citi, you'll have the opportunity to grow your career, give back to your community and mak

Akkodis is seeking a Sr Python Developer for a.Ideally looking for applicants with a solid background in the financial services industry.Plano TX and Jersey city (3 days a week).W2 (Visa sponsorship is good); The rate may be negotiable based on experience, education, geographic location, and other f

Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databas

Job Title: DevOps Engineer - GitHub Actions Specialist. Bachelor of Computer Science or Engineering or experience in related fields?.

Minimum requirements: Must have a Bachelor's degree in Computer Science, Engineering, Mathematics, Business, Accounting, Finance or a related field and 5 years of progressive, post-baccalaureate work experience. Alternatively, will accept a Master's degree in Computer Science, Engineering, Mathemati

This position also encompasses automation/streamlining of datasets, and analytics computations using programming languages such as Python, SQL, and PowerShell. Engineer unstructured datasets into structured ones using custom scripts or programs.

Implement software deployment scripts to automate and streamline the software delivery process.

Working experience with AI/ML frameworks, agent-based development, MLOps, and CI/CD pipelines. Prior Full-stack development experience with HTML, CSS, JavaScript, React. Proficiency in scripting (Python, PowerShell, BASH, YAML) and automation testing.

Dist Professor Bio-Medical Engineering.

Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines.