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 settings;
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 (India)
🏢 Infosys
📍 India