ML Platform / Infrastructure Engineer

Build and maintain the infrastructure that powers large-scale AI model training, evaluation, deployment, and monitoring. You’ll partner closely with research engineers to enable reliable, reproducible, and scalable ML workflows. Design and maintain ML training and deployment infrastructure Build scalable MLOps pipelines for model training, evaluation, and release Deploy and operate ML services in production Improve experiment reproducibility, CI/CD, and model lifecycle management Monitor system health, performance, and model observability Optimize infrastructure for reliability, scalability, and cost

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Visa sponsorship not available., Strong Python and software engineering fundamentals Deep experience with AWS and cloud-native architectures Production experience with Kubernetes and containerized workloads Experience building MLOps platforms and ML deployment pipelines Familiarity with distributed training infrastructure Experience with experiment tracking and observability tools (e.g., Weights & Biases, MLflow, Prometheus, Grafana) Experience with CI/CD, Infrastructure as Code, and automation Experience supporting large-scale LLM or VLM training Familiarity with GPU clusters and distributed training frameworks Experience with model serving and inference optimization Knowledge of workflow orchestration tools (e.g., Argo, Airflow, Kubeflow)

This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.

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Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text .