MLOps Engineer - Generative AI/LLM in Bangalore, भारत

MLOps EngineerLocation : Bangalore - WhitefieldExperience : 7 - 10 YearsEmployment Type : Full-timeRole Overview : We are looking for an experienced MLOps Engineer with strong expertise in machine learning engineering, cloud-based ML platforms, and AI/ML model deployment. The ideal candidate will be responsible for building scalable ML pipelines, automating model development and deployment workflows, and enabling reliable productionisation of AI/ML and Generative AI https://jobeax.com/link/Gpaa4oyRTNYXQU0V Stack : - Python, MLOps, Deep Learning, RAG & LLMs, TensorFlow, DatabricksKey Responsibilities : - Design, build and maintain scalable MLOps pipelines for model development, training, validation and deployment.- Develop and automate CI/CD workflows for machine learning models and AI applications.- Deploy, monitor and maintain ML models in production environments.- Work closely with Data Scientists, ML Engineers, Data Engineers and application teams to productionise machine learning solutions.- Develop and optimise machine learning workflows using Python and TensorFlow.- Build and manage data and ML pipelines using Databricks and related technologies.- Support the development and deployment of Deep Learning models.- Work on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and other Generative AI use cases.- Design pipelines for data preparation, feature engineering, model training and inference.- Implement model versioning, experiment tracking, model validation and lifecycle management.- Establish monitoring mechanisms for model performance, data quality, drift and system health.- Optimise ML infrastructure for scalability, reliability and cost efficiency.- Troubleshoot production issues and continuously improve the reliability of ML systems.- Ensure security, governance and best practices are followed throughout the ML lifecycle.- Stay updated with emerging technologies and best practices across MLOps, GenAI and AI https://jobeax.com/link/mFvxkowVIupLYK84 Skills : - 7 - 12 years of overall experience in MLOps / ML Engineering / AI Engineering.- Strong hands-on programming experience in Python.- Strong understanding of MLOps principles and ML lifecycle management.- Hands-on experience with TensorFlow and Deep Learning frameworks.- Experience working with LLMs and Generative AI.- Practical understanding of RAG architectures, embeddings, vector search and retrieval pipelines.- Strong experience with Databricks and ML/data processing workflows.- Experience building and managing automated ML pipelines.- Good understanding of model deployment, monitoring and productionisation.- Experience with CI/CD, version control and automated deployment practices.- Strong understanding of data pipelines and data engineering https://jobeax.com/link/foMcZv4qpsOyQhfA to Have : - Experience with cloud platforms such as AWS, Azure or GCP.- Experience with Docker and Kubernetes.- Knowledge of MLflow or similar experiment/model lifecycle management tools.- Experience with vector databases and semantic search.- Exposure to Agentic AI and AI application development.- Knowledge of infrastructure-as-code and cloud-native architectures.- Experience implementing responsible AI, security and governance https://jobeax.com/link/TtkK7BHPbancvnFq Competencies : - Strong problem-solving and analytical skills.- Ability to work effectively with cross-functional teams.- Strong communication and stakeholder-management skills.- Ability to translate AI/ML requirements into scalable production solutions.- Strong ownership and focus on building reliable, production-ready systems. (ref:hirist.tech)