Lead MLOps Engineer
3 days ago
As a Lead MLOps Engineer, you will play a pivotal role in building scalable and reliable machine learning infrastructure for enterprise-grade applications. We are looking for a Lead Data Engineer with strong exposure to MLOps practices, ideally someone with a core data engineering background who has worked on large-scale data platforms. This is a hybrid role that blends big data engineering with end-to-end model lifecycle management- from development and deployment to monitoring and retraining. The ideal candidate will bring hands-on experience with Databricks, PySpark, and the orchestration of production-grade ML pipelines, enabling efficient and resilient solutions in dynamic, data-driven environments. Roles and Responsibilities Design and implement distributed data processing pipelines using PySpark. Collaborate with business architects and stakeholders to design scalable data and ML workflows. Optimize performance of Spark applications through tuning, resource management, and caching strategies. Debug long-running Spark jobs using Spark UI; address OOM errors, data skew, shuffle issues, and job retries. Manage model deployment workflows using tools like MLflow for tracking, versioning, and registry. Build and maintain CI/CD pipelines for both data and ML workflows. Containerize applications using Docker and orchestrate using tools like Kubernetes. Monitor production models, manage retraining workflows, and handle dependency management. Contribute to clean, collaborative Git workflows with practices such as branching, rebasing, and PR reviews. Work across teams to ensure models are production-ready, scalable, and aligned with business goals. Develop and orchestrate big data workflows on Databricks. Work on at least one cloud platform (preferably Azure) for scalable data and ML solutions. Required Skills and Experience: Proficient in PySpark, with strong experience in Spark performance tuning and optimization. Strong expertise in Databricks for development, orchestration, and job monitoring. Working knowledge of MLflow or similar tools for model lifecycle management. Proficient in Python and SQL. Deep understanding of distributed data systems, job scheduling, and fault tolerance. Experience in working with structured/unstructured data formats like Parquet, Delta, and JSON. Familiarity with feature stores, model monitoring, drift detection, and automated retraining workflows. Strong command over Git and version control in multi-developer environments. Experience with CI/CD tools for data and ML pipelines. Knowledge of containerization (Docker) and orchestration (Kubernetes) is a plus. Experience with at least one major cloud platform (Azure preferred, or AWS/GCP).
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Lead MLOps Engineer
5 days ago
bangalore, India MathCo Full timeAs a Lead MLOps Engineer, you will play a pivotal role in building scalable and reliable machine learning infrastructure for enterprise-grade applications. We are looking for a Lead Data Engineer with strong exposure to MLOps practices, ideally someone with a core data engineering background who has worked on large-scale data platforms. This is a hybrid role...
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Lead MLOps Engineer
4 weeks ago
bangalore, India MathCo Full timeAs a Lead MLOps Engineer, you will play a pivotal role in building scalable and reliable machine learning infrastructure for enterprise-grade applications. We are looking for a Lead Data Engineer with strong exposure to MLOps practices, ideally someone with a core data engineering background who has worked on large-scale data platforms. This is a hybrid role...
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Lead MLOps Engineer
24 hours ago
bangalore district, India MathCo Full timeAs a Lead MLOps Engineer, you will play a pivotal role in building scalable and reliable machine learning infrastructure for enterprise-grade applications. We are looking for a Lead Data Engineer with strong exposure to MLOps practices, ideally someone with a core data engineering background who has worked on large-scale data platforms. This is a hybrid role...
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MLOps Engineer
6 hours ago
bangalore, India Capgemini Full timeResponsibilities Experience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model Governance Expert in Azure Databricks, Azure ML, Unity Catalog Hands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, Docker Experience in developing standards and practices for...
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MLOPS Engineer
1 day ago
Bangalore, India Jobted IN C2 Full timeChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of...
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SRE & MLOps Engineer
5 days ago
bangalore, India apna Full timeAbout Blue MachinesBlue Machines powers large-scale, real-time Voice AI and Agentic Workflows across BFSI,Healthcare, HRTech, and Global Enterprises.Role: SRE & MLOps Engineer (3–6 Years Experience)Location: Bangalore (Hybrid)What You Will Own1. Platform Uptime & Reliability- Maintain 99.9%+ uptime.- Monitor and optimize latency for voice agents.2....
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SRE & MLOps Engineer
4 days ago
bangalore, India apna Full timeAbout Blue MachinesBlue Machines powers large-scale, real-time Voice AI and Agentic Workflows across BFSI,Healthcare, HRTech, and Global Enterprises.Role: SRE & MLOps Engineer (3–6 Years Experience)Location: Bangalore (Hybrid)What You Will Own1. Platform Uptime & Reliability- Maintain 99.9%+ uptime.- Monitor and optimize latency for voice agents.2....
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SRE & MLOps Engineer
3 days ago
Bangalore, India apna Full timeAbout Blue Machines Blue Machines powers large-scale, real-time Voice AI and Agentic Workflows across BFSI, Healthcare, HRTech, and Global Enterprises. Role: SRE & MLOps Engineer (3–6 Years Experience) Location: Bangalore (Hybrid) What You Will Own 1. Platform Uptime & Reliability - Maintain 99.9%+ uptime. - Monitor and optimize latency for voice agents....
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Senior MLOps Engineer
1 week ago
bangalore, India beBeeAgentic Full timeJob Title: Senior MLOps EngineerWe are seeking a seasoned professional to join our team as a Senior MLOps Engineer. This role is critical to our growing AI/ML practice and requires a specialized individual with experience in building and maintaining pipelines for evaluation and deployment of agentic systems. Key Responsibilities:Design and implement...
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Senior Mlops Engineer
3 weeks ago
Bangalore, Karnataka, India Elanco Full timeAt Elanco NYSE ELAN - it all starts with animals As a global leader in animal health we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets We re driven by our vision of Food and Companionship Enriching Life and our approach to sustainability - the Elanco Healthy Purpose TM - to advance the...