Senior Machine Learning Engineer

Responsibilities

• Design and manage CI/CD pipelines for ML models using tools like MLflow, Kubeflow, or SageMaker
• Automate model training, validation, and deployment workflows
• Architect and maintain scalable ML infrastructure on cloud platforms such as AWS, Azure, or GCP
• Optimize resource usage and model performance in production environments
• Implement monitoring systems for model drift, performance, and data integrity
• Ensure compliance with data governance, privacy, and security standards
• Collaborate with data scientists, software engineers, and DevOps teams to integrate ML solutions
• Mentor junior ML engineers and contribute to technical leadership

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
• 8-10 years of experience in software engineering, data science, or MLOps
• Strong proficiency in Python, Docker, and Kubernetes
• Experience with cloud-native ML tools
• Experience with ML lifecycle platforms such as MLflow, TFX, or Airflow
• Deep understanding of model versioning, reproducibility, and deployment strategies

Preferred Qualifications

• Specialization in computer vision or other domain-specific ML applications
• Proven experience productionizing end-to-end ML workflows
• Familiarity with model monitoring and observability tools (e.g., Evidently AI, Arize AI)
• Expertise in feature stores (e.g., Feast, Tecton) and model registries
• Experience with distributed training frameworks like Horovod or Ray

Benefits

• Opportunity to work on world-leading energy projects
• Structured learning, mentorship, and professional development
• Inclusive and collaborative workplace environment
• Comprehensive benefits supporting health, well-being, and work-life balance

About the Company

Chevron is one of the world's leading integrated energy companies. The Engineering and Innovation Excellence Center (ENGINE) in Bengaluru, India, brings together global expertise with local talent to enhance technological innovation and optimize solutions for the world’s energy challenges.