onsite
Senior AI/ML Engineer - Manager - State Street
ML Engineer
Senior AI/ML Engineer leading a cross‑functional team to deliver high‑performance infrastructure support and automated QA, leveraging Python, SQL, and LLM‑based AI tools to drive continuous improvement and system reliability.
About the role
Key Responsibilities
- Lead and mentor a team of infrastructure and QA engineers, setting clear objectives and fostering a culture of continuous improvement.
- Design, implement, and maintain automated testing frameworks using Python and SQL to ensure robust system performance and reliability.
- Integrate and evaluate Large Language Models (LLMs) and AI tools to enhance support workflows, defect detection, and predictive maintenance.
- Collaborate with cross‑functional stakeholders to define quality metrics, monitor SLAs, and report on performance trends.
- Drive incident response and root‑cause analysis for L1 & L2 infrastructure issues, ensuring rapid resolution and knowledge sharing.
Requirements
- 8–12 years of hands‑on experience in infrastructure support (L1/L2) and QA testing.
- Proficiency in Python and SQL for automation and data analysis.
- Experience with LLMs and AI tools in production environments.
- Strong leadership and managerial skills, with a track record of building high‑performing teams.
- Excellent communication, problem‑solving, and stakeholder‑management abilities.