Role : MLOps EngineerExperience : 6 to 12 YearsNotice Period : Immediate to 60 Days PreferredAbout the Role : We are looking for a skilled MLOps Engineer to design, implement, and optimize scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have hands-on experience in automating ML workflows, managing model lifecycle, and building cloud-native MLOps platforms that enable seamless collaboration between Data Science, Data Engineering, and Software Engineering teams. This role requires expertise in CI/CD for machine learning, containerization, orchestration, cloud platforms, model monitoring, and infrastructure automation to ensure reliable, scalable, and production-ready AI solutions.Key Responsibilities : - Design, build, and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and retraining.- Automate machine learning workflows using CI/CD best practices.- Develop scalable infrastructure for deploying machine learning models in production.- Collaborate with Data Scientists and ML Engineers to operationalize AI/ML models.- Build and manage feature stores, model registries, and experiment tracking systems.- Implement model versioning, governance, monitoring, and drift detection.- Develop automated testing, validation, and deployment pipelines for ML models.- Monitor model performance, infrastructure health, and production environments.- Optimize model deployment for performance, scalability, and cost efficiency.- Build infrastructure using Infrastructure as Code (IaC) tools.- Ensure security, compliance,



and governance across AI/ML platforms.- Troubleshoot production issues and continuously improve platform reliability.- Collaborate with DevOps, Cloud, and Engineering teams to enhance platform capabilities.Required Qualifications : - Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.- 6 to 12 years of overall IT experience with significant hands-on experience in MLOps, DevOps, or ML Platform Engineering.- Experience deploying machine learning models into production environments.Preferred Skills : - Experience working with Generative AI or Large Language Models (LLMs).- Knowledge of Vector Databases and Retrieval-Augmented Generation (RAG).- Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.- Exposure to NVIDIA GPU infrastructure and distributed training.- Knowledge of security, compliance, and AI governance frameworks.- Experience working with enterprise-scale AI platforms.Preferred Candidate Profile : - Proven experience designing and managing enterprise MLOps platforms.- Robust understanding of software engineering and DevOps best practices.- Experience deploying, scaling, and monitoring machine learning models in production.- Excellent analytical, troubleshooting, and communication skills.- Ability to work in cross-functional teams and drive end-to-end ML platform initiatives.- Candidates serving an immediate to 60-day notice period will be preferred. (ref:hirist.tech)

📌 MLOps Engineer - CI/CD (Bengaluru)
🏢 Impetus Career Consultants Private
📍 Bengaluru