About The Role

In this role, you will set the technical direction for ML engineering and oversee the delivery of production-grade AI systems within SoftServe’s AI and Data Science Center of Excellence.

You’ll bridge applied research and real-world impact, leading cross-functional teams and shaping ML strategy for world-leading clients.

Responsibilities

• Define and drive technical standards and architecture for end-to-end ML systems.
• Oversee the design and delivery of production-ready LLMOps pipelines.
• Lead collaboration with Data Scientists, Engineers, and clients to translate business requirements into ML solutions.
• Advance agentic AI capabilities through multi-agent systems design.
• Establish and improve ML engineering processes, including cloud infrastructure and governance.
• Mentor ML Engineers and foster a culture of continuous learning.
• Contribute to technical strategy and thought leadership in client engagements.

Requirements

• Strong Python proficiency in the core ML ecosystem.
• Deep expertise in LLMOps and experiment tracking tools.
• Experience in cloud-based AI/ML solutions deployment.
• Knowledge of agentic AI frameworks and multi-agent systems.
• Experience leading ML Engineering teams and establishing best practices.
• Strong stakeholder management and communication skills.
• Master’s degree in Computer Science or a related field.

SoftServe is an equal opportunity employer.