S&P Global Ratings is seeking an Associate Director - Machine Learning Engineer to lead the design, architecture, and implementation of production-grade GenAI services and solutions. The role involves driving the development and evolution of large-scale, stateful and stateless distributed systems, and championing the development of MLOps/LLMOps platform and automated pipelines.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 10+ years of progressive experience in data science, data analytics, machine learning engineering, or similar roles.
- 8+ years of relevant experience with writing production-level, scalable code with Python.
- MLOps/LLMOps, machine learning engineering, or a related role.
- Experience building with framework technologies (such as LangChain/LangGraph/LangSmith, Haystack, or similar AI application frameworks).
- Containerization technologies (such as Docker, Podman, or containerd), container orchestration platforms (including but not limited to Kubernetes, Docker Swarm, or OpenShift), cloud platforms (such as AWS, Azure, or Google Cloud Platform), CI/CD platforms (such as Jenkins, GitLab CI, or Azure DevOps), and workflow orchestration tools.
- Distributed systems programming, AI/ML solutions architecture, and microservices architecture experience.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.