Senior MLOps Engineer 5+YRS

Job Profile: Senior MLOps Engineer

About the Project

LSEG is a leading global financial markets infrastructure and data provider. TheContent Amplifyproject is at the forefront of transforming unstructured financial narratives into structured, accessible data using cutting-edge AI technologies.

Our mission is toamplify human-in-the-loop efforts, enabling ML and LLM models to learn from subject matter expert feedback in a scalable, iterative process.

This includes leveragingML-Ops,cloud-native architectures, andinnovative feedback loopsto continuously improve data quality, speed, and scope.

Key Responsibilities

• Develop scalable and maintainable Python-based backend systems.

• Build and optimize APIs and services using frameworks like Flask or Django.

• Collaborate with cross functional teams including Data Scientists, DevOps, Architecture, QA, Cyber Security etc. to integrate classic ML and LLM models into production workflows.

• Design and maintain efficient database schemas and queries.

• Implement security and data protection best practices.

• Debug, test, and improve existing systems.

• Support production systems and ensure high availability.

• Take full ownership of design initiatives - from concept to task breakdown.

• Ensure system reliability, fault tolerance, and performance optimization.

Required Experience & Skills

Must-Have:

• 5+ years of experience as a Python developer.

• Proficiency in at least one Python web framework (Flask, Django).

• Strong understanding of ORM tools and relational databases.

• Experience with cloud platforms (Azure preferred, AWS acceptable).

• Solid SQL skills and query optimization techniques.

• Bachelor's degree in Computer Science, Engineering, or equivalent.

• Excellent problem-solving and collaboration skills.

• Experience with Kubernetes (EKS), Docker, and CI/CD pipelines.

• Experience building scalable data pipelines and integrating with ML workflows.

Nice-to-Have:

• Experience with big data technologies (Snowflake preferred).

• Familiarity with ML libraries (scikit-learn, pandas, PySpark, PyArrow).

• Ability to design and optimize database performance.

• Prior collaboration with Data Science teams.

Soft Skills

• Energetic, open-minded, and creative.

• Strong self-learning ability.

• Team player with excellent communication skills.

• Flexible and adaptable to change.

• Independent and proactive.

• Fluent in English -Must