Taro Logo

Lead Machine Learning Engineer

One of the world's leading integrated energy companies involved in exploring, producing, and transporting crude oil and natural gas.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS

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 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.

The ideal candidate will be responsible for transforming data science prototypes into production-ready solutions, working with Azure cloud services, and implementing enterprise-scale machine learning pipelines. They will collaborate closely with data scientists, engineers, and business professionals while providing mentorship to junior team members.

Key technical requirements include strong Python programming skills, experience with container technologies like Docker and Kubernetes, and proficiency with Azure Machine Learning services. The role demands expertise in mathematics, statistics, and algorithms, along with practical experience in MLOps and model lifecycle management.

This position offers the opportunity to work with one of the world's leading energy companies, contributing to innovative solutions across global operations. The role is based in Bangalore with standard working hours either 8:00 AM to 5:00 PM or 1:30 PM to 10:30 PM to support global business requirements.

The successful candidate will join Chevron's ENGINE team, which supports global operations and business requirements worldwide. This is an excellent opportunity for an experienced machine learning professional looking to make a significant impact in the energy sector while leading and mentoring a team of technical professionals.

Last updated 22 days ago

Responsibilities For Lead Machine Learning Engineer

  • Transform data science prototypes into production-scale solutions
  • Orchestrate and configure infrastructure for ML 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

Python
Kubernetes
  • 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 with Microsoft Azure Services and Azure Machine Learning
  • Proficiency in mathematics, statistics, and algorithms
  • Experience with MLflow and machine learning frameworks
  • Experience designing custom APIs for machine learning models
  • Knowledge of enterprise SaaS complexities
  • Experience with data engineering tools like Databricks, Spark, Azure Data Factory

Interested in this job?

Jobs Related To Chevron Lead Machine Learning Engineer