MLOps Engineer
Job Summary:
We are seeking a talented and experienced MLOps Engineer to join our team. The ideal candidate will design, implement, and maintain infrastructure for deploying and managing advanced gen-AI agents and workflows powered by large language models.
Key Responsibilities:
- Design and implement production-ready infrastructure and scalable deployment strategies for LLM-enabled agents and workflows
- Implement and optimize continuous integration and continuous deployment (CI/CD) processes for AI applications
- Develop and manage version control systems for AI agents, workflows, datasets, LLM models and their associated artifacts
- Implement governance and safety mechanisms for AI agent deployments
- Create tooling for testing and performance evaluation of LLM models
- Develop comprehensive logging and tracing systems for AI workflows
- Ensure compliance with data privacy, security, and governance standards
- Collaborate with data scientists and engineers to translate experimental AI workflows into production-ready solutions
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Software Engineering, or related field
- 5+ years of experience in software engineering, with a strong background in machine learning and LLMs
- Proficiency in programming languages such as Python, with strong coding skills
- Expert-level proficiency in Python and LLM frameworks (Hugging Face, LangChain, OpenAI API, LlamaIndex, etc.)
- Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
- Advanced understanding of machine learning model deployment, monitoring, and management
- Strong experience with CI/CD tools (GitHub Actions)
- Familiar with ML versioning tools (DVC, MLflow)
- Experience with infrastructure as code (Terraform, CloudFormation)
Desirable Skills:
- Expertise in generative AI models, particularly those applicable to healthcare scenarios.
- Strong problem-solving skills and ability to innovate under pressure.
- Excellent communication and interpersonal skills to effectively lead a team and collaborate with stakeholders.
- Previous employment at a FAANG company or similar, with substantial involvement in AI/ML projects.
What We Offer:
- Competitive startup salary and equity packages.
- Health, dental, and vision insurance.
- Flexible working hours and hybrid work options.
- An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes.
- A vibrant and inclusive work environment that fosters creativity and innovation.
Pay & Benefits: The pay range for this role is between $180,000 and $220,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
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