6 Mlops Engineer Jobs

Job Title: MLOps Engineer Location: Remote / Pan India,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad iSource Services is hiring for one of their client for the position of MLOps Engineer. About the Role: The ML Ops Engineer plays a critical role in the development, automation, and deployment of Machine Learning (ML) and Generative AI (GenAI) pipelines across AWS cloud environments. This hands-on role emphasizes building reproducible workflows, integrating observability tools, and enabling efficient, scalable model delivery. The position supports AI systems deployed in banking environments, where resilience and reliability are paramount. Core Requirements (In Order of ...

Job Purpose : 'As an MLOps Engineer, you will be responsible for deploying, scaling, and monitoring ML & GenAI models in production. You will own the infrastructure, automation, and observability layer while collaborating with ML Engineers and Data Scientists to ensure models (LLMs, embeddings, recommendation systems, etc.) are reliably served at scale. This role combines DevOps best practices with ML-specific needs, ensuring smooth model lifecycle management and robust GenAI-powered applications. Key / Primary Responsibilities: ' '* Design and manage CI/CD pipelines for ML model deployment. * Provision and maintain scalable infrastructure using Kubernetes, Docker, AWS Lambda, or cloud servi...

About Position: We are conducting an in-person hiring drive for the position of Mlops Engineer in Pune & Bengaluru on 23rd August 2025. Interview Location is mentioned below: Pune - Persistent Systems, Aryabhata-Pingala, 9A/12, Kashibai Khilare Marg, Erandawana, Pune 411004. Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024. We are looking for an experienced and talented Mlops Developer to join our growing data competency team. The ideal candidate will have a strong background in working with ML model deployment pipelines (CI/CD for ML)You will work closely with our data analysts, engineers, and busi...

Location- PAN India Grade- C1 to C2 Exp- 6 to 12 Years Key Responsibilities: 1. Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment 2. Collaborate with data scientists and software engineers to operationalize ML models 3. Develop and maintain CI/CD pipelines for ML workflows 4. Implement monitoring and logging solutions for ML models 5. Optimize ML infrastructure for performance, scalability, and cost-efficiency 6. Ensure compliance with data privacy and security regulations Required Skills and Qualifications: 1. Strong programming skills in Python, with experience in ML frameworks 2. Expertise in containerization technologies (Docker) and o...

Years of Experience : 10+ Years Role : MLOps Engineer Location : Bangalore Summary We're seeking an experienced MLOps Engineer to build and maintain our computer vision infrastructure on AWS. The ideal candidate will develop model training pipeline, a comprehensive image data lake with advanced search capabilities, implement active learning pipelines for efficient annotation, and create frameworks enabling customers to deploy their own deep learning models. This role combines MLOps expertise with data engineering to create scalable, production-ready computer vision systems. Responsibilities: • Design and implement end-to-end computer vision ML training pipelines on AWS SageMaker for model tr...

Develop and deploy ML pipelines using MLOps tools, build FastAPI-based APIs, support LLMOps and real-time inferencing, collaborate with DS/DevOps teams, ensure performance and CI/CD compliance in AI infrastructure projects. Required Candidate profile Experienced Python developer with 4–8 years in MLOps, FastAPI, and AI/ML system deployment. Exposure to LLMOps, GenAI models, containerized environments, and strong collaboration across ML lifecycle