Advanced AI Infrastructure Specialist
3 days ago
**Job Overview:**
Qualified Health is seeking an exceptional MLOps Engineer to design, implement, and maintain infrastructure for deploying and managing advanced gen-AI agents and workflows powered by large language models.
**Estimated Salary:** $185,000 - $205,000 per year
Job Responsibilities:
- Create 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.
- Design 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).
Benefits:
- Competitive 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.
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