AI/ML Engineering Lead

For our client, we are seeking a AI/ML Engineering Lead to join the team of a leader in the Finance & Insurance space.

This role will guide the design and delivery of production machine learning and GenAI solutions that support scalable, reliable business outcomes. You will set engineering standards across the ML lifecycle, partnering closely with data and engineering teams to move models from experimentation into production. The position also calls for hands-on technical leadership, with a focus on mentoring engineers, strengthening MLOps practices, and enabling reproducible, auditable deployments in a cloud environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $124,500 – $180,000 annually

Responsibilities

• Lead the design and delivery of production ML and GenAI systems using Azure Databricks.
• Establish engineering standards for the full ML lifecycle, from experimentation through deployment.
• Mentor ML and data engineers through design and code reviews to strengthen engineering practices.
• Build MLOps foundations leveraging MLflow and Databricks for model management.
• Architect GenAI capabilities, including RAG and prompt design.
• Ensure reliability and reproducibility of training data through the team’s data stack.
• Establish CI/CD processes for ML within Azure DevOps to support deployable and auditable models.

Qualifications

• 8+ years of experience in software, data, or ML engineering, including production ML system experience.
• Demonstrated technical leadership experience mentoring engineers and designing complex systems.
• Strong proficiency in Python and SQL, with in-depth knowledge of the ML lifecycle and frameworks such as scikit-learn, PyTorch, or TensorFlow.
• Hands-on experience with MLOps practices, particularly MLflow and Azure Databricks.
• Experience developing GenAI/LLM applications, including RAG and vector databases.
• Familiarity with modern data stack technologies such as dlt, dbt, and Dagster.
• Working knowledge of Microsoft Azure services and CI/CD pipelines using Azure DevOps.

Benefits

• Comprehensive health, dental, and vision insurance.
• Robust mental health support and employee assistance programs.
• Generous paid time off and parental leave policies.
• Pension plan and 401(k) plan with company matching.
• Employee wellbeing program with cash incentives.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.