13 Mlops Engineer Jobs

Hiring: Lead / Architect MLOps Engineer Experience: 8+ Years Location: Hyderabad Work Mode: Hybrid (3 days WFO) Employment Type: Full-Time Note: Candidate must be available to come to the office for PM discussion. Role Overview The MLOps Engineer will bridge the gap between machine learning model development and production deployment. This role focuses on building scalable ML infrastructure, automating pipelines, and ensuring reliable, secure, and cost-efficient ML operations in production environments. Key Responsibilities Design, develop, and maintain CI/CD pipelines for ML models Automate model deployment, monitoring, retraining, and performance tracking Collaborate closely with data scie...

Dear Professional, We are excited to present a unique opportunity at Cognizant, a leading IT firm renowned for fostering growth and innovation. We are seeking talented professionals with 9 to 14 years of experience in CI/CD Pipelines for ML Workflows,MLOps Engineer,Machine Learning Model Deployment,ML Pipeline ,Orchestration,MLflow / Kubeflow,Model Monitoring,Observability,AWS Cloud,EC2, EKS, S3, IAM, SageMaker, Azure Cloud Infrastructure,Cloud Optimization,Cloud Security,Performance,Infrastructure as Code,Terraform, Docker,Kubernetes,Helm Charts,Argo CD,Containerized Environments,Kubernetes Cluster,Python Scripting, Bash Scripting,DevOps Automation,Linux Administration to join our dynamic t...

Role Overview: As a skilled MLOps Engineer, you will join the AI Innovation team at SS&C Technologies. Your main focus will be on AI microservice infrastructure and production deployment. Your responsibilities will include building and maintaining critical infrastructure to scale AI innovations from proof-of-concepts to enterprise-grade production services. You will collaborate with Python developers, AI researchers, and business analysts to establish robust deployments, monitoring systems, and cloud infrastructure supporting cutting-edge AI applications in the financial services industry. Your role is crucial in defining the "path to production" for AI initiatives and ensuring reliable depl...

Role & responsibilities Job Title: MLOps Engineer About the Role We are seeking an experienced MLOps Engineer to join our team and play a critical role in deploying, automating, monitoring, and optimizing machine learning solutions. The ideal candidate will have strong hands-on experience with Databricks, Python, PySpark, SQL, and CI/CD pipelines , along with exposure to Jenkins, SonarQube, Jira, and Git . You will work closely with data scientists, data engineers, and DevOps teams to streamline the end-to-end ML lifecyclefrom model development to production deployment and continuous monitoring. Key Responsibilities Design, implement, and maintain MLOps pipelines for ML model deployment and ...

As a MLOps Engineer at Qualcomm India Private Limited, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of the ML infrastructure. **Responsibilities:** - Architect, develop, and maintain the ML platform to support training and inference of ML models. - Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. - Collaborate with data scientists and softw...

Role Overview: As a skilled MLOps Engineer on the AI Innovation team at SS&C Technologies, you will focus on AI microservice infrastructure and production deployment. Your responsibilities will include building and maintaining critical infrastructure to enable AI innovations to scale from proof-of-concepts to enterprise-grade production services. You will collaborate closely with Python developers, AI researchers, and business analysts to establish robust deployments, monitoring systems, and cloud infrastructure supporting cutting-edge AI applications in the financial services industry. Your role will be pivotal in defining the "path to production" for AI initiatives, ensuring reliable deplo...

• Experience on deploying shallow learning and deep learning models • Experience with Big Data Platform and cloud technologies • Building production grade Gen AI applications is a plus. • ML Design pattern, algorithm and the data structure skills

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