GenAI ML/MLOps Engineering Lead

Job Description :

Our client is seeking a Lead / AD ML and MLOps Engineering to join our ML team within the Data Science group.

You will lead the engineering activities for building production grade generative AI solutions, play a pivotal role in implementing our machine learning engineering operations to ensure the seamless deployment, monitoring, and management of our machine learning models and data pipelines.

The Team :

You will be work closely in a world class AI ML team comprised of experts in AI ML modeling, ML & LLMOps engineers, data science and data engineering teams. You will contribute to engineering and developing solutions for ML operations and be a critical part of leading AI-driven transformation to drive value internally and for our customers.

Our client is a leader in automation and AI / ML to transform risk management. This role is a unique opportunity for ML / LLMops engineers to grow into the next step in their career journey.

• Lead ML Engineering to architect, build and deploy production grade GenAI services and solutions.
• Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services and more.
• Lead MLOps / LLMOps platform development & automated pipelines focusing on deploying, monitoring and maintaining models in production environments; with model governance, cost and performance optimization.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Create and manage Documentation and knowledge base, including development best practices, MLOps / LLMOps processes and procedures.
• Work closely with members of technology teams in the development, and implementation of Enterprise AI platform.

Basic Required Qualifications :

Additional Preferred Qualifications :

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