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Senior AI 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
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior AI Machine Learning Engineer

Chevron is seeking a Senior AI Machine Learning Engineer to join their Enterprise AI team in India. This role is crucial for designing and developing AI/ML models that drive business value. The position requires 5-10 years of experience and combines expertise in mathematics, statistics, and computer science to create advanced AI/ML solutions. The ideal candidate will work on transforming data science prototypes into production-scale solutions, orchestrating infrastructure for ML workloads, and implementing complex algorithms into enterprise-scale machine learning pipelines.

The role offers an opportunity to work with cutting-edge technologies in AI/ML, including Azure Machine Learning, MLflow, and container orchestration. You'll be collaborating with data scientists, engineers, and solution architects across various business units, making a significant impact on Chevron's AI initiatives. The position demands strong technical skills in Python programming, cloud services, and machine learning frameworks, combined with a deep understanding of mathematical concepts.

Working at Chevron, one of the world's leading integrated energy companies, provides exposure to virtually every facet of the energy industry. The company's global presence and involvement in exploring, producing, and transporting crude oil and natural gas offers unique challenges and opportunities for professional growth. The role is based in Bangalore, with working hours aligned to support global operations (8:00am to 5:00pm or 1:30pm to 10:30pm).

This position is perfect for someone passionate about exploring and innovating with AI/ML technologies, who can bridge the gap between theoretical data science and practical implementation. The role requires both technical expertise and business acumen, as you'll be responsible for identifying opportunities to apply machine learning to improve business workflows and deliver insights that support critical business decisions.

Last updated 17 hours ago

Responsibilities For Senior AI 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 professionals to integrate models
  • Implement complex algorithms into enterprise scale machine learning pipelines
  • Run machine learning experiments and fine-tune algorithms
  • Design and deliver complex solutions through planning, development, and deployment

Requirements For Senior AI Machine Learning Engineer

Python
Kubernetes
  • 5-10 years of experience in Object Oriented Design/Functional Programming in Python
  • Mature software engineering skills including version control, CI/CD
  • Experience with MLflow, containers, and Kubernetes
  • Experience with Microsoft Azure Services and Machine Learning SDK
  • Knowledge of mathematics, linear algebra, probability, and statistics
  • Experience with model lifecycle management and automation
  • Experience implementing ML models using cognitive services and computer vision
  • Knowledge of data engineering tools like Databricks, Spark, Azure Data Factory
  • Strong communication skills both oral and written

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