Title: Senior AI/ML Engineer Location: US Job Description: Type: Contract-to-Hire Category: Development Industry: Government Workplace Type: Remote Reference ID: JN -052026-107129 Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent systems. The engineer will build predictive models, apply document AI with transformers, and integrate models into secure production workflows. Collaboration with product managers, architects, and cross-functional teams will ensure solutions align with business goals. This position requires availability for meetings during Eastern Time business hours. Due to federal security clearance requirements, applicant must be a United States Citizen or Permanent Resident with an active Public Trust clearance. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. 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: $90.00 to $100.00/hr. w2 JN -052026-107129 Responsibilities: - Engineer AI solutions using LLM providers and implement complex multi-agent workflows. - Design and develop predictive models using regression, classification, clustering, and neural networks. - Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph. - Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. - Apply software engineering best practices for maintainable, efficient, reliable, and secure code. - Identify and resolve performance bottlenecks and security vulnerabilities. - Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans. - Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution. - Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives. Experience Requirements: - 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering. - Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding. - Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering. - Strong Python skills with TensorFlow and PyTorch. - Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred. - Experience with image transformer models for document image understanding, including Microsoft DiT. - Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks. - Integration of transformers into OCR pipelines and collaboration with OCR technologies. - OpenCV-based image processing for document analysis. - CI/CD with Terraform, GitLab, and GitLab Runner. - Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services. - Familiarity with AI coding tools such as Claude and Codex. - Strong problem solving and communication skills with ability to work independently. - AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner. - Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years. Education Requirements: - BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience. - Additional experience does not substitute for the education requirement. 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. 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.

Staff Machine Learning Engineer locations Ames USA - Remote job requisition id R11542 Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning solutions across our platform. Your expertise will be instrumental in leading projects that demand innovative problem-solving, including the integration of cutting-edge Generative AI into our products. In this role, you'll have the chance to develop robust tools, systems, and infrastructure to bolster the development, monitoring, and management of our machine learning solutions. Leveraging your engineering prowess, you'll tackle challenges related to availability and scaling, ensuring the long-term stability of our systems. If you're passionate about pioneering the possibilities of Generative AI and want to be part of a team driving innovation at Workiva, we invite you to join us! Learn more about Workiva's Generative AI and be part of shaping the future of ML with us. What You’ll Do Architect and Develop Solutions - Architect and deliver cutting-edge ML solutions using MLOps and best practices, fostering creativity in project execution - Design systems to enable rapid ML development, high availability, and clear observability - Develop tools, systems, and automation to support ML solutions, ensuring efficiency, scalability, and rapid development Collaborate and Lead - Collaborate closely with product teams to develop APIs, maintain ML infrastructure, and integrate machine learning features into products - Provide technical leadership, mentor less experienced ML engineers and scientists, and define team best practices and processes - Lead in the ML space by introducing new technologies and techniques, and applying them to Workiva's strategic initiatives - Communicate complex technical issues to both technical and non-technical audiences effectively - Collaborate with software, data architects, and product managers to design complete software products that meet a broad range of customer needs and requirements Ensure Reliability and Support - Deliver, update, and maintain machine learning infrastructure to meet evolving needs - Host ML models to product teams, monitor performance, and provide necessary support - Write automated tests (unit, integration, functional, etc.) with ML solutions in mind to ensure robustness and reliability - Debug and troubleshoot components across multiple service and application contexts, engaging with support teams to triage and resolve production issues - Participate in on-call rotations, providing 24x7 support for all of Workiva’s SaaS hosted environments - Perform Code Reviews within your group’s products, components, and solutions, involving external stakeholders (e.g., Security, Architecture) What You’ll Need Required Qualifications - Bachelor’s degree in Computer Science, Engineering or equivalent combination of education and experience - Minimum of 4 years in ML engineering or related software engineering experience - Proficiency in ML development cycles and toolsets Preferred Qualifications - Familiarity with Generative AI - Strong technical leadership skills in an Agile/Sprint working environment - Experience building model deployment and data pipelines and/or CI/CD pipelines and infrastructure - Proficiency in Python, GO, Java, or relevant languages, with experience in Github, Docker, Kubernetes, and cloud services - Proven experience working with product teams to integrate machine learning features into the product - Experience with commercial databases and HTTP/web protocols - Knowledge of systems performance tuning and load testing, and production-level testing best practices - Experience with Github or equivalent source control systems - Experience with Amazon Web Services (AWS) or other cloud service providers - Ability to prioritize projects effectively and optimize system performance Working Conditions - Less than 10% travel - Reliable internet access for remote working opportunities How You’ll Be Rewarded Salary range in the US: $163,000.00 - $261,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Why Join Workiva Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation—ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world. At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-MJ2

• Build production augmentation and profile models: Design, train, evaluate, and deploy models against real survey data, owning the full path from experiment to production. • Innovate on solutions: We aim to build the best simulation of survey responses in the industry. You'll design the experiments, baselines, and models to get us there. • Use the latest technology: Build on the best open-weights LLMs with fine-tuning, build new ones from scratch with custom architectures or use third party models through an API; whatever gets us the best result. • Partner with Data Science: Work with the data science team to ensure integrity of our statistical testing and experiment framework. • Leverage AI tooling: Use Claude Code and agentic programming tools where appropriate.

Role Description Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply. - Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences - Implement custom user interfaces using latest programming techniques and technologies - Develop reusable software components for interfacing with back-end platforms - Analyze and optimize code for quality, efficiency, and performance - Lead complex technical or product efforts and provide technical guidance to peers - Architect efficient and scalable systems that drive complex applications - Identify and resolve performance and scalability issues - Work on a variety of coding languages and technologies - Establish ownership of components, features, or systems with expert end-to-end understanding Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships - 6+ years of programming experience in a relevant language or 3+ years of experience + PhD - Experience building maintainable and testable code bases, including API design and unit testing techniques Requirements - Experience building and shipping high quality work and achieving high reliability - Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes - Experience with developing machine learning models at scale from inception to business impact - Exposure to architectural patterns of large scale software applications - Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack - 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field - Knowledge developing and debugging in C/C++ and Java - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) - Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Benefits - $154,003/year to $217,000/year + bonus + equity + benefits