Senior MLOps Engineer

As a Senior Data Engineer at our company, you will be responsible for designing and implementing scalable data pipelines, productionizing ML workflows, and ensuring system observability. This is a hands-on role that requires expertise in Databricks, Spark, AWS, and MLOps. Your coding skills and execution focus will be crucial in contributing from day one....

Job Description - MLOps Engineer (46 Years)We are seeking an experienced MLOps Engineer with strong expertise in LLM deployment, optimization, and scalable model serving. The ideal candidate will work at the intersection of AI/ML engineering, DevOps, and cloud infrastructure, ensuring seamless integration of large-scale AI models into...

Job Overview:We're seeking a skilled MLOps Engineer to bridge the gap between data science and DevOps, ensuring ML workflows are robust, scalable, and secure across cloud and on-prem environments.Responsibilities:- Collaborate with Data Scientists and Engineers to build and automate ML pipelines (training, validation, deployment, monitoring)- Develop and...

Role – MLOps Engineer Job Purpose: The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable, reliable, and cutting-edge Machine Learning Operations (MLOps) platform. This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline...

Essential DutiesInclude, but are not limited to, the following:- Own productionizing models—from tracked experiments to governed releases—ensuring resilient services with clear SLOs, runbooks, and fast, safe rollbacks.- Build automation-first delivery: reproducible builds, layered tests, and environment promotion via GitLab CI and Terraform-based IaC.-...

Essential DutiesInclude, but are not limited to, the following:Own productionizing models—from tracked experiments to governed releases—ensuring resilient services with clear SLOs, runbooks, and fast, safe rollbacks.Build automation-first delivery: reproducible builds, layered tests, and environment promotion via GitLab CI and Terraform-based...

Job Title: MLOps EngineerLocation: 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...

Company Description Innodata Inc. (NASDAQ: INOD) is a global data engineering company dedicated to driving innovation in Generative and Traditional AI. We collaborate with the world's leading technology companies and enterprises, offering a range of transferable solutions, platforms, and services for AI builders and adopters. With over 35 years of delivering...

Key Responsibilities: Infrastructure Management: Build scalable and robust infrastructure for ML models, ensuring seamless production integration. CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment. Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or...

We’re Hiring: Senior Data Engineer (Hands-On Role | Contract | Immediate Joiners Preferred| Multi-Loc in India)Location: Hybrid – Offices in Hyderabad, Chandigarh, Noida, Gurgaon, Bangalore, Chennai, PuneRemote Option: Can be considered for exceptional candidates⏰ Work Type: Full-time Contract (6 Months – Likely to Extend)Notice Period: ...