Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Summary:
As a MLOps engineer, you will be responsible for deploying and maintain the full lifecycle of applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.

Roles & Responsibilities:
- Explore, implement and deploy pipelines for deep learning, neural networks, chatbots, and image processing solutions.
- Collaborate with cross-functional teams to deliver high-quality AI projects.
- Tracking of multiple models,



experiments for auditing purpose
- Collaborate with data scientists for hyper parameter tuning and features maintenance
- Model management and versioning
- Work with infra team, data scientists, business in establishing artifact lineage, model registry, governance
- Assist in testing, automated deployment
- A pipeline for triggering retraining to detect model drift or data drift, trigger retraining
- Working knowledge of AWS Lambda, Sagemaker, AWS Step Functions

Qualified & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Creation of CI,CD Pipelines for ML algorithms, training, prediction pipelines
- Work with business, data scientists to ensure value realization, ROI on operationalization of models
- Strong understanding of statistical analysis and machine learning algorithms.
- Containerization, packaging of ML models
- Endpoint creation for prediction
- Ex

📌 IT Analyst Applications (Chennai)
🏢 Caterpillar
📍 Chennai