Lead Machine Learning Engineer

Chevron is seeking a Lead Machine Learning Engineer to join their team in Bangalore, India. This senior-level position requires 10-15 years of relevant experience and focuses on designing and developing AI/ML models that drive business value. The role combines technical expertise in machine learning, software engineering, and cloud technologies with leadership responsibilities including mentoring junior team members.

The ideal candidate will be responsible for transforming data science prototypes into production-ready solutions, orchestrating infrastructure for ML workloads, and implementing complex algorithms at enterprise scale. They will work with Azure cloud services, MLOps practices, and modern container technologies while collaborating across multiple teams including data scientists, engineers, and solution architects.

Key technical requirements include strong Python programming skills, experience with ML frameworks, container technologies (Docker, Kubernetes), and cloud platforms (particularly Azure). The role demands expertise in mathematics, statistics, and algorithms, along with practical experience in model lifecycle management and MLOps.

Working at Chevron, one of the world's leading integrated energy companies, offers the opportunity to work on complex problems with modern technologies. The position is based in Bangalore with working hours aligned to support global operations (8:00am to 5:00pm or 1:30pm to 10:30pm).

This role represents an excellent opportunity for an experienced ML engineer looking to make significant impact in a global energy company while leading and mentoring others. The successful candidate will combine technical excellence with strong communication skills and the ability to collaborate effectively across different organizational levels.