About the Role

My client are seeking a hands on Machine Learning Engineering Manager with a strong background in machine learning, systems design, and team leadership. You will lead a team of talented ML engineers and collaborate cross-functionally to build scalable machine learning infrastructure and production-grade models. This is a leadership role for someone who enjoys both guiding teams and contributing technically.

Key Responsibilities

• Team Leadership: Lead, mentor, and grow a team of machine learning engineers; foster a culture of innovation, collaboration, and technical excellence.
• Technical Direction: Own the ML engineering roadmap. Architect and deliver scalable ML systems for training, deployment, monitoring, and evaluation.
• Project Execution: Partner with product, research, and data teams to define scope, timelines, and deliverables for ML initiatives.
• Hands-on Development: Contribute to codebases, model training pipelines, and infrastructure where needed.
• Operational Excellence: Establish best practices for MLOps, CI/CD, data governance, and model observability.
• Hiring & Growth: Participate in recruiting efforts and help shape the future of the ML engineering team.

Qualifications

Required:

• 6+ years of experience in ML engineering or applied ML roles, with 2+ years in a team leadership or management role.
• Strong software engineering skills e:g Python experience with production ML systems.
• Deep understanding of ML lifecycle: data processing, model training, evaluation, deployment, and monitoring.
• Experience with ML frameworks ,
• Familiarity with MLOps best practices and cloud infrastructure (AWS/GCP/Azure).
• Excellent communication and collaboration skills.