• owning the transition from research code to production-ready and optimized models • establishing CI/CD pipelines that allow scientists to deploy models in short iteration cycles • innovating upon our existing monitoring systems to make our services reliable and give scientists insight into performance of models in production • designing services to expose ML models to Zillow’s end customers • owning team’s datasets, leading and supporting data engineering projects, and collaborating with scientists on model training • supporting scientists in running large-scale training and data processing projects • establishing best practices around code quality, testing, and ownership for reliability • participating in existing on-call rotation • staying updated on cutting-edge research and modifying methods for practical use • collaborating across applied science and engineering teams to turn ideas into scalable product capabilities

• Administer and manage the Databricks platform, including workspace configuration, cluster optimization, and performance tuning • Implement and maintain Unity Catalog for enterprise-grade data governance and security • Design, develop, and optimize ETL/ELT pipelines supporting large-scale data integration and analytics workflows • Architect and maintain Delta Lake and lakehouse environments to ensure high performance, scalability, and data reliability • Support AI/ML workflows and integration within Databricks environments • Apply SysEngOps and DevSecOps practices, including CI/CD pipelines, automation, and release management • Utilize version control systems (Git) to manage code repositories and track the development lifecycle • Implement identity and access management (IAM) and role-based access control (RBAC) policies across enterprise systems • Ensure compliance with DoD security standards and data governance policies • Collaborate with cross-functional teams to design and deploy cloud-based data solutions across AWS, Azure, and GCP • Leverage technologies including Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native services for large-scale analytics.

• Own the client's recommendation system end-to-end: design, training, deployment, and monitoring • Build and mature ranking and retrieval models that process behavioral signals — clicks, opens, purchases — at consumer scale • Operate ML systems at hundreds of millions of events per day, with direct impact on client revenue • Make independent technical decisions and engage directly with client engineering leadership — no intermediaries

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.