Description

Lead AI/ML engineering efforts and manage a technical team while maintaining hands-on involvement in model development and deployment.

This role is hybrid.

Responsibilities

• Lead and mentor a team of AI/ML engineers, providing technical direction and oversight.
• Design, build, and deploy scalable ML models and GenAI solutions using Python.
• Architect and maintain data pipelines, APIs, and distributed systems for production environments.
• Oversee the full lifecycle of model deployment, from experimentation to productionization on cloud platforms.
• Ensure code quality, system reliability, and adherence to engineering best practices.

Required Skills

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• 10+ years of overall engineering experience with at least 3 years focused on AI/ML engineering.
• 2+ years of people or technical team leadership experience.
• Strong hands-on proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience deploying ML models in production environments.
• Solid understanding of data pipelines, APIs, and distributed systems.
• Experience with cloud platforms, preferably Azure.

Preferred Skills

• Experience building and deploying LLM or GenAI solutions.

Key Skills

Education

Bachelor's degree