IT Analyst Applications (MLOps Engineer)
Caterpillar Inc. (company site, opens in a new tab)ChennaiOn-siteDirect career pageEst. 10–22 LPA
Posted 21h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Caterpillar Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Caterpillar Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Deploy and maintain end-to-end AI applications and MLOps pipelines including deep learning, neural networks, chatbots, and image processing.
- Collaborate with data scientists, infrastructure, and business teams to manage model lifecycle, versioning, governance, retraining triggers for model/data drift, and delivery of AI projects.
- Develop and support CI/CD pipelines, automate deployment, and implement monitoring for ML models to ensure operational efficiency and ROI realization.
Minimum Requirements
- Proficiency in Machine Learning Operations, including CI/CD pipelines for ML training and prediction workflows.
- Hands-on experience with AWS services such as Lambda, Sagemaker, Step Functions.
- Work onsite 5 days a week in India; visa sponsorship not available.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in managing full ML lifecycle operations in production environments with strong cross-functional collaboration skills.
- Strong technical background in application design, architecture, and integration of AI/ML systems.
- Ability to implement robust system testing plans, troubleshooting, and governance for AI-driven applications.