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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 relevant experience and combines expertise in mathematics, statistics, and computer science. The ideal candidate will work on transforming data science prototypes into production solutions, orchestrating infrastructure for ML workloads, and implementing complex algorithms into enterprise-scale pipelines.

The role offers an opportunity to work with cutting-edge technologies including Azure Machine Learning, MLflow, and Kubernetes. You'll be part of a collaborative environment, working alongside data scientists, engineers, and solution architects across various business units. The position demands strong technical skills in Python programming, machine learning frameworks, and cloud services, particularly Microsoft Azure.

Key aspects of the role include model lifecycle management, implementation of ML models using cognitive services, and experience with large-scale model optimization. The successful candidate will need to demonstrate mature software engineering practices, strong mathematical foundation, and excellent communication skills. Working hours will be aligned with global operations, with flexibility between 8:00am to 5:00pm or 1:30pm to 10:30pm.

This is an excellent opportunity for an experienced ML engineer looking to make an impact in a global energy company. You'll be working on innovative solutions that provide significant value to the business, while being part of a team that supports global operations. The role offers the chance to work with enterprise-scale systems and contribute to the digital transformation of one of the world's leading integrated energy companies.

Last updated 20 days 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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