MLOps Engineer
Infosys
Bengaluru East, Karnataka, India1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- Machine learningStakeholder managementAirflowPyTorchTensorFlowscikit-learn
- Nice to have
- Spark
- Work
- On-site in Bengaluru East
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management27%Machine learning18%Airflow5%PyTorch3%of 99 similar fresher jobs posted in India this week
- Listed
- 3 Nov 2026 · still open
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About the Role
MLOps Engineer at Infosys focusing on Machine Learning & MLOps.
Key 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 clients.
- Assist clients with operationalization metrics to track performance of ML Models.
- Help teams with ML Pipelines from creation to execution.
- Guide teams to debug issues with pipeline failures.
- Understand and take requirements on operationalization of ML Models from Data Scientists.
- Engage with Business / Stakeholders with status updates on progress of development and issue fixes.
- Set up standards related to Coding, Pipelines, and Documentation.
- Research new topics, services, and enhancements in Cloud Technologies.
Requirements & Tech Stack
- 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)