MLOps Engineer

• *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 new 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:**
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Technology\-\>AI\-AI Engineering\-\>MLOps,Technology\-\>AI\-Data science\-\>PYTHON \- AI\-Data Science