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

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 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 Requirements:

- 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

Preferred Skills:

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

Skills: Machine Learning, Apache Spark, Tensorflow, Scikit Learn, Pytorch, MLops, Airflow

Experience: 0.00-0.00 Years

📌 MLOps Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru