We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. This role requires strong expertise in traditional machine learning techniques, along with a deep understanding of the unique challenges posed by Generative AI (GenAI). The ideal candidate will serve as a critical link between the theoretical potential of GenAI models and their practical deployment in real-world production environments. Were looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective. Collaboration is key in this role, as the candidate will work closely with data scientists and cross-functional teamsstrong communication and teamwork skills are essential.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
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- Bachelors degree in Computer Science, Engineering, Data Science, or related field
- 5+ years as a Machine Learning Engineer with production deployment experience
- Proficient in Python programming
- Strong experience with AWS (SageMaker, Studio, Bedrock)
- Skilled in Docker, Kubernetes, Terraform, and CloudFormation
- Deep understanding of LLMs (LangChain, OpenAI preferred)
- Experience with CI/CD pipelines (GitHub Actions)
- Familiar with GenAI techniques like RAG, hallucination monitoring, and human-in-the-loop systems
- Proven ability to deploy, monitor, and maintain GenAI models in production
- Able to build and manage data pipelines and storage for model operations
- Knowledge of secure coding, authentication, authorization, and monitoring systems
Experience with cost optimization strategies for GenAI deployments
Master's degree in computer science/ engineering, data science or related field
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.