Senior Machine Learning Engineer

Senior Machine Learning Engineer

At Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru, we leverage India’s advanced engineering and digital capabilities to develop scalable, data-driven solutions for energy challenges. By integrating global expertise with local innovation, our teams are helping to meet the global energy demands of today and build the lower carbon energy systems of tomorrow.

• Full-Time
• 8+ years of experience
• success profile

At Chevron, we are dedicated to the success of our teams – we believe these attributes enhance the team to thrive in an inclusive, collaborative and innovative environment.

• Collaborative
• Detail-oriented
• Organized
• Proactive
• Strategic
• Adaptable

Culture

At Chevron India, culture is defined by collaboration, innovation, and a shared commitment to solving the world’s energy challenges. Employees are encouraged to think boldly, work across disciplines, and contribute to projects that have real-world impact. Whether it’s through advanced engineering, digital transformation, or operational excellence, team members are empowered to bring their best ideas forward.

The Bengaluru based Chevron ENGINE is a hub for technical talent, where professionals thrive in a dynamic, inclusive environment. Chevron fosters a workplace where continuous learning, and career growth are prioritized. Employees are supported with competitive benefits, leadership development, and a strong sense of purpose—knowing their work contributes to a lower carbon energy future.

• hear from our people

Our greatest strength lies in the diversity and dedication of our people. From our ENGINE center in Bengaluru to our operations across the country, our talented professionals bring deep expertise and a collaborative spirit to every task. Together, we ensure the safety, efficiency, and continuity of our work—driving innovation and excellence in everything we do.

Benefits

• Competitive Salaries

• Annual incentive awards

• Health care coverage and life insurance

• Time off (Paid vacations and holidays)

• Retirement benefits

• Recognition and service award programs

• Senior Machine Learning Engineer

• Bengaluru, India

• R000064919

About the position:

• We are actively searching for a talented and experienced Machine Learning (ML) Engineer to join our team. As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems. In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles. Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning.

Key Responsibilities

• Model Deployment & Automation

• Design and manage CI/CD pipelines for ML models using tools like MLflow, Kubeflow, or SageMaker.

• Automate model training, validation, and deployment workflows.

• Infrastructure & Scalability

• Architect and maintain scalable ML infrastructure on cloud platforms (AWS, Azure, GCP).

• Optimize resource usage and model performance in production environments.

• Support distributed training and real-time inference systems.

• Monitoring & Governance

• Implement monitoring systems for model drift, performance, and data integrity.

• Ensure compliance with data governance, privacy, and security standards.

• Establish observability and reliability practices for ML systems (SLOs, alerting).

• Collaboration & Leadership

• Work closely with data scientists, software engineers, and DevOps teams to integrate ML solutions.

• Mentor junior ML engineers and contribute to technical leadership across projects.

• Tooling & Frameworks

• Develop reusable components and libraries for ML Ops workflows.

• Evaluate and integrate new tools and technologies to improve ML lifecycle management.

• Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

• 8-10 years of experience in software engineering, data science, or ML Ops.

• Strong proficiency in Python, Docker, Kubernetes, cloud-native ML tools and Computer Vision.

• Experience with ML lifecycle platforms (e.g., MLflow, TFX, Airflow).

• Deep understanding of model versioning, reproducibility, and deployment strategies.

• Preferred Skills

• Specialized in computer vision or other domain-specific ML applications.

• Proven experience in productionizing end-to-end ML workflows, including data ingestion, feature engineering, deployment, and monitoring.

• Familiarity with model monitoring and observability tools (e.g., Roboflow, DataRobot, Evidently AI, Arize AI).

• Expertise in feature stores (e.g., Feast, Tecton) and model registries.

• Experience with distributed training frameworks (e.g., Horovod, Ray) and real-time inference systems.

• Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases) and CI/CD best practices for ML.

• Understanding of ML system reliability, cost optimization, and compliance standards.

• Chevron ENGINE supports global operations, that the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.

• What we can offer you

• Everything we do at Chevron is guided by our values and our commitment to The Chevron Way.

• Have the opportunity to take part in world-leading energy projects, advance your professional development and expand your career within an inclusive and collaborative workplace.

• Join a workplace where innovation, collaboration and safety are at the core of how we work.

• Work in thoughtfully designed environments that support focus, well-being, and innovation enhanced by digital tools that enable seamless collaboration.

• Grow through structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron’s values and business priorities.

• Access comprehensive benefits that support your health, well-being, and work-life balance.

• Engage with emerging technologies and digital solutions that are shaping the future of energy and enterprise.

• Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.

• Privacy and Terms and Conditions

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• Please access the Global Application Statements, select the country where you are applying for employment. By applying, you acknowledge that you have read and agree to the country specific statement.

• Terms of Use

• “ENGINE” refers to the Chevron Engineering and Innovation Excellence Center, which operates under Chevron Global Technology and Services Private Limited, an affiliate of Chevron Corporation. References to ENGINE in this document are for convenience only and do not denote a separate legal entity.

• This job advertisement is intended to provide a general overview o