Job Description

- We are looking for an experienced MLOps Engineer to design, deploy, automate, and maintain scalable machine learning platforms and workflows. The ideal candidate should have hands-on experience with ML lifecycle management, CI/CD pipelines, cloud platforms, containerization, and model deployment.

Roles Responsibilities

- - Responsible for successful delivery of MLOps solutions and services in client consulting environments;

- Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client.

- Assist clients with operationalization metrics to track performance of ML Models

- Help team with ML Pipelines from creation to execution

- Guide team to debug issues with pipeline failures

- Understand and take requirements on Operationalization of ML Models from Data Scientist





- Engage with Business / Stakeholders with status update on progress of development and issue fix

- Setup Standards related to Coding, Pipelines and Documentation

- Research on recent topics, services and enhancements in Cloud Technologies

Technical Requirement

- Machine Learning MLOps

- ML lifecycle management

- Model deployment and monitoring

- Feature stores and model registries

- Experiment tracking

- Tools Frameworks

- MLflow

- Kubeflow

- Airflow

- TensorFlow / PyTorch / Scikit-learn

- Apache Spark (preferred)

Educational Requirement

- MCA,MSc,MTech,BTech

Preferred Skills

- Technology->AI-AI Engineering->MLOps,Technology->AI-Data science->PYTHON - AI-Data Science

Service Line

- Data Analytics Unit

📌 MLOps Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru