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Job Description Electrical, Controls Engineer - Industrial Electro-Mechanical Machinery Industry Focus: Industrial Machinery I Electromechanical Equipment I Custom Automation Systems Robotics I Industrial Controls I Food and Beverage Manufacturing I Packaging Equipment I Water and Wastewater Treatment I Process Equipment I OEM Machine Building We are currently seeking to identify (2) Electrical Controls Engineers to join a well-established and growing industrial equipment manufacturer with over 50 years of engineering excellence. One opportunity is ideal for a junior to mid-level candidate with at least 2+ years of relevant experience, and the other is targeted for a senior-level engineer with more years of hands-on experience in electrical design, programming, controls, and industrial automation. This is your chance to join a team that builds large-scale electromechanical systems from concept through completion. From food production lines to custom process and water treatment equipment, you'll be working on machinery that makes a real-world impact. Responsibilities: · Design, develop, and program industrial electrical control systems to meet engineering and client requirements · Create electrical schematics, wiring diagrams, and panel layouts using AutoCAD Electrical or similar design software · Specify, select, and configure control system components such as PLCs, VFDs, relays, sensors, and breakers · Program PLCs and HMIs (Allen-Bradley, Siemens, or similar platforms preferred) · Layout and design control panels and motor control centers (MCCs) · Perform validation testing and troubleshoot electrical systems during build and final assembly · Collaborate closely with mechanical engineers, software engineers, and production teams to ensure full integration · Provide technical documentation including BOMs, manuals, wiring lists, and startup procedures · Travel as needed for commissioning and system validation (minimal and planned in advance) · Stay current with evolving industry technology, best practices, and safety standards Qualifications: We are hiring for two experience levels. Candidates must meet the criteria for one of the following profiles: Junior to Mid-Level Role: · Minimum 2 years of experience in electrical controls, panel design, or related engineering environment · Experience with AutoCAD Electrical or similar drafting tools · Working knowledge of industrial components and safety regulations · Basic PLC programming knowledge or exposure to automation software · Strong interest in hands-on engineering, testing, and troubleshooting · Bachelor's degree in Electrical Engineering or equivalent hands-on experience Senior-Level Role: · Experience in electrical controls and industrial automation · Proficiency in AutoCAD Electrical and strong PLC/HMI programming experience · Deep understanding of UL, NEC, NFPA 70E, and electrical safety standards · Demonstrated success leading projects or contributing to complex custom machinery builds · Ability to mentor junior team members and drive design improvements · Background in electromechanical system design and manufacturing support What Makes This Opportunity Unique: · Privately owned and financially strong company with over 50 years of proven success · All engineering and manufacturing is done in-house at our US-based facilities · Recession-resistant with projects in food processing, water treatment, packaging, and more · Work directly on high-impact custom systems from design to completion · Short lead times and an integrated design-build process · Access to a seasoned engineering team for mentorship and collaboration · Competitive salary structure with performance bonuses · Opportunities for growth into technical leadership or project management · Continued access to learning and development in electrical, automation, and mechanical engineering · Team-focused culture that values practical problem-solving, quality, and innovation Traits That Set You Up for Success: · Detail-oriented and self-driven with a strong sense of accountability · Hands-on mindset and curiosity to understand how systems work · Enjoy working on one-off and custom systems that challenge your engineering creativity · Collaborative and open communicator, ready to share and receive feedback · Willing to dive into troubleshooting and help bring machines across the finish line · Honest, reliable, and committed to continuous improvement Take the Next Step in Your Career: If you are passionate about industrial electrical systems and automation, whether you are building your skills or bringing a wealth of experience, we want to hear from you. These roles offer the chance to work on meaningful projects with a stable, growing company where your contributions matter every day. Apply now to explore how you can be a part of building the next generation of industrial automation and electromechanical systems. Equal Opportunity Commitment: We and our client are equal opportunity employers and welcome all qualified applicants regardless of race, religion, gender, age, disability, veteran status, or any other protected classification.

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (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 Youll 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

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Head of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Director of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description Position Description: A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Mathematical Optimization and algorithm development. This role is critical in architecting the core software engine that drives our proprietary photonic quantum processors, combining complex mathematical formulations with physical optical hardware feedback. Responsibilities • Design and implement the high-performance C++ runtime and Hardware Abstraction Layer (HAL) for photonic optimization computers., • Profile and optimize critical execution paths to minimize latency, addressing bottlenecks in memory bandwidth, cache locality, and data transfer., • Collaborate with FPGA, Electrical engineers and Firmware engineers to ensure to create, test, and optimize device interfaces., • Develop algorithmic enhancements to usage of quantum feedback to solve NP hard optimization problems more efficiently with higher solution quality., • Write efficient, thread-safe code for concurrent hardware control and real-time signal processing., • Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines., • Build software layers to decompose and orchestrate large-scale optimization problems across multiple photonic hardware resources. Required Qualifications • 6+ years of experience in software engineering with a focus on systems or HPC., • Strong proficiency in C++ and Python, • Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods., • Experience with Numerical Analysis and high-performance math libraries (e.g., BLAS, LAPACK, Eigen)., • Familiarity with protocols (e.g., UART, SPI, gRPC, REST) and software integration., • Strong understanding of performance tuning, memory management, and fault-tolerant design., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang)., • Experience working in cross-functional teams involving hardware, physics, and software. Preferred Qualifications • Advanced degree (MS/PhD) in Computer Science, Physics, or Mathematics., • Experience with classical optimization solvers (e.g., CPLEX, Gurobi) or heuristic frameworks., • Familiarity with Open Quantum Systems or optical feedback mechanisms., • Background in Digital Signal Processing (DSP) or control theory., • Knowledge of containerized deployment using Docker. Skills C++, High Performance Computing (HPC), Algorithm Design, Mathematical Optimization,, Multi-threading, Linux, CMake, Python, Performance Profiling, Hardware Abstraction, Signal Processing. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionDescription: Hybrid 50% ON SITE, half remote, work site either Jersey City, NJ or Westlake, TX Our client seeks a Principal Software Engineer to advance an enterprise AI/ML platform within a large, highly regulated industry environment. This role is ideal for a seasoned engineer who has “been around the block” — someone who has designed, built, and operated enterprise-scale platforms and can provide long-term architectural and technical leadership. The role will design and deliver reliable, secure, and cost-efficient capabilities for model packaging, deployment, serving, and observability. You will collaborate with platform engineers and data scientists to operationalize models at scale on AWS, drive standards, and improve reliability and velocity across teams. In this role, you will address complex technical challenges using Python code and have a focus area in delivering machine learning solutions at an enterprise scale. You’ll work on core platform services that enable machine learning and generative AI models to be safely, securely, and cost‑effectively deployed across the organization. A major focus of this role is a Python-based web service that acts as a gateway for AI models. You will be responsible for developing, building, and enhancing platform capabilities that are reliable, secure, and cost-efficient. This position offers the opportunity to collaborate with multiple teams to implement practical and robust solutions widely used in production. 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: $65.00 to $70.00/hr. w2 Responsibilities: • Design, build, and evolve enterprise-scale Python services that support AI/ML and generative AI use cases., • Lead the technical direction and standards for model packaging, deployment, serving, and observability., • Partner closely with data scientists and application teams to operationalize models and accelerate adoption across the business., • Own and enhance a Python-based API and web service used as a gateway for AI tools, including usage tracking and cost controls., • Drive best practices for cloud-native architecture in AWS, with a focus on reliability, security, and cost efficiency., • Define and improve CI/CD pipelines, reusable frameworks, and paved paths to increase engineering velocity., • Lead incident response, root cause analysis, and post-mortems; implement systemic improvements to prevent recurrence., • Mentor senior and mid-level engineers and provide cross-team technical leadership., • Develop and evolve Python based platform capabilities for enterprise-scale ML packaging, deployment, serving, and observability. This will focus on fullstack work as well as model and data observability including drift detection, prediction quality monitoring, uncertainty signals, and diagnostics., • Partner with Data Scientists to package, scale, and operationalize models with clear APIs, guardrails, and automation, work to enable secure, scalable access to traditional and generative models through enterprise gateways and services., • Set platform strategy and standards for ML packaging, deployment, serving, and observability., • Lead cross-platform incident response and post-mortems, driving systemic fixes., • Introduce reusable frameworks and CI/CD templates to enhance engineering velocity., • 8+ years, typically 10+, building and operating production platforms at scale., • Deep Python development experience and distributed systems expertise with production-grade services. Requires In-depth Python development experience, including building APIs and production-grade services., • Familiarity with Java or Groovy (HIGHLY preferred)., • Technical Expertise:, • Deep expertise in Python and distributed systems, requires strong background in distributed systems and enterprise-scale platforms., • Proficiency in Linux and scripting., • Cloud platform leadership, particularly in AWS (S3, Lambda, Batch). Requires extensive experience designing and operating applications deployed in AWS (S3, Lambda, Batch, and related services)., • Experience with DevOps and CI/CD, including Jenkins and Git-based workflows., • Expertise in Infrastructure as Code (CloudFormation, Terraform/OpenTofu)., • ML enablement in production, including model packaging and deployment strategies, requires practical experience enabling ML in production, including deployment strategies, performance tuning, and observability., • Leadership: Cross-organizational technical leadership and mentoring experience.Proven ability to provide long-term design input and technical leadership on complex, enterprise initiatives., • Strong communication skills — able to clearly explain complex systems and design decisions to technical and non-technical stakeholders. Nice to Have • Exposure to Java or Groovy in enterprise environments., • Familiarity with Docker-based frameworks for model packaging and deployment., • Experience with generative AI platforms and managing secure access to tools such as large language models., • Exposure to Azure or GCP in addition to AWS., • Experience in cost governance or usage monitoring for shared platforms. Education Requirements: • Bachelor’s degree, Controller’s degree, or equivalent experience in Computer Science, Software Engineering, or a related field. 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. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact Eliassen Group: Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. 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 Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities * The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements * Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders * As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. * As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills * 9+ years of hands-on in professional software development * 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) * Strong understanding of data structures, indexing, and searching required * Ability to integrate with Elasticsearch and run queries/reports * 3+ years of experience building microservices * 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift * Experience with Kafka and other technologies * Can apply principles of Test-Driven Development * Experience with writing test cases * Able to write build scripts * Experience with Kubernetes and Terraform * Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. * Experience integrating applications with Redis/Memcached a plus Nice to Have Skills * Experience with Flutter * Development of mobile and tablet devices * AI/Machine Learning experience a plus * Experience with Big Query and Metabase * Experience developing Vertical SaaS ERP Software Personal Skills * A passion for building software and streamlining process issues * Demonstrate tenacity when solving challenging problems in a deadline-driven environment * Experience with Scrum/Agile Methodologies * Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team * Able to be self-motivated and work independently as needed to solve complex problems * Taking pride in work and desire to make projects succeed Benefits * Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. * A positive and collaborative work environment with a focus on innovation and sustainability. * Flexible/Unlimited PTO * Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). * Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. * Yearly Personal Development Budget * Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work