Lead Machine Learning Engineer
Description For 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 experience and plays a crucial role in designing and developing AI/ML models that drive business value.
The role combines technical leadership with hands-on development, requiring expertise in both machine learning and software engineering. As a Lead ML Engineer, you'll be responsible for transforming data science prototypes into production-ready solutions, working with cutting-edge technologies and frameworks including Python, Kubernetes, and Azure ML services.
The position offers an opportunity to work on complex, enterprise-scale machine learning problems in the energy sector. You'll be collaborating with cross-functional teams including data scientists, engineers, and business professionals, while also providing mentorship to junior team members.
Key technical requirements include strong experience with Python, machine learning frameworks, container technologies, and cloud platforms (particularly Azure). The ideal candidate should have a strong foundation in mathematics, statistics, and algorithms, combined with practical experience in MLOps and production deployment of ML models.
Working at Chevron means joining one of the world's leading integrated energy companies, with operations spanning globally. The role is based in Bangalore, with working hours aligned to support global operations (either 8:00 AM to 5:00 PM or 1:30 PM to 10:30 PM).
This position offers the opportunity to:
- Lead the development of innovative AI/ML solutions
- Work with enterprise-scale data and infrastructure
- Mentor and guide junior team members
- Collaborate with global teams
- Impact business decisions through data-driven solutions
- Be part of digital transformation in the energy sector
The role requires a combination of technical expertise, leadership skills, and business acumen, making it ideal for experienced ML engineers looking to take the next step in their careers while working on impactful projects in the energy sector.
Responsibilities For Lead Machine Learning Engineer
- Transform data science prototypes into production environment solutions
- Orchestrate and configure infrastructure for machine learning workloads
- Create advanced AI/ML models combining mathematics, statistics, and computer science
- Collaborate with AI Technical Manager and GCC Petro-technical professionals
- Implement complex algorithms into enterprise scale machine learning pipelines
- Run machine learning experiments and fine-tune algorithms
- Provide mentorship for other team members
Requirements For Lead Machine Learning Engineer
- 10-15 years of experience
- Minimum 5 years experience in Object Oriented Design/Functional Programming in Python
- Experience with containers and container management (docker, Kubernetes)
- Experience implementing machine learning frameworks and libraries such as MLflow
- Experience with Microsoft Azure Services and Azure Machine Learning SDK
- Working knowledge of mathematics, probability, statistics, and algorithms
- Experience designing custom APIs for machine learning models
- Knowledge of enterprise SaaS complexities
- Experience with model lifecycle management and automation
- Knowledge of data engineering tools like Databricks, Spark, Azure Data Factory
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