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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 Bangalore, India. This role presents an exciting opportunity to work with one of the world's leading integrated energy companies, focusing on designing and developing AI/ML models that drive significant business value.

The position requires 5-10 years of relevant experience and combines technical expertise in machine learning with practical software engineering skills. As a Senior AI ML Engineer, you'll be responsible for transforming data science prototypes into production-ready solutions, working with state-of-the-art technologies including Azure Machine Learning, MLflow, and Kubernetes.

The role involves close collaboration with AI Technical Managers, Petro-technical professionals, and data engineers to integrate and scale models into the business framework. You'll be working on complex problems using modern technologies and approaches, implementing machine learning pipelines, and ensuring optimal performance of AI systems.

Key technical requirements include strong Python programming skills, experience with cloud services (particularly Azure), and deep knowledge of machine learning frameworks. You should be comfortable with both the theoretical aspects (mathematics, statistics, algorithms) and practical implementation of ML systems, including MLOps practices and model lifecycle management.

The position offers the opportunity to work on enterprise-scale solutions in the energy sector, applying cutting-edge AI technologies to solve real-world problems. You'll be part of a global team supporting operations worldwide, with flexible working hours aligned to business requirements (8:00am to 5:00pm or 1:30pm to 10:30pm).

This role is perfect for someone who combines strong technical skills with business acumen and can communicate complex technical concepts clearly to various stakeholders. You'll be at the forefront of applying AI/ML solutions in the energy sector, working with a company that has a significant global presence and impact.

Last updated 19 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 GCC Petro-technical professionals
  • Implement complex algorithms into enterprise scale machine learning pipelines
  • Run machine learning experiments and fine-tune algorithms
  • Design and deploy complex solutions that simplify business processes

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
  • Strong knowledge of mathematics, 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

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