MLOps Engineer
4 weeks ago
MLOps Engineer | Nuvo AI / Meril Life Sciences (Vapi, Gujarat)We’re looking for a passionate and skilled MLOps Engineer to join our AI & Machine Learning Division at Meril Life Sciences, where innovation meets healthcare.If you’re excited about designing scalable machine learning pipelines, automating model deployments, and ensuring reliable ML systems in production — we’d love to hear from you.Key Responsibilities- Design, develop, and implement end-to-end MLOps pipelines for continuous integration and deployment of ML models. - Collaborate closely with data scientists and engineers to understand model requirements and streamline deployment workflows. - Automate training, testing, and deployment processes for machine learning models. - Monitor, maintain, and optimize models in production to ensure accuracy, reliability, and performance. - Implement best practices for model versioning, reproducibility, and governance. - Optimize ML pipelines for scalability, efficiency, and cost-effectiveness across cloud and on-prem environments. - Troubleshoot and resolve deployment or performance-related issues. - Ensure compliance with data security and privacy standards. - Stay updated with the latest MLOps tools, technologies, and trends. - Mentor and support team members on MLOps tools and best practices.Required Skills & Experience- 3–5 years of experience in MLOps, DevOps, or related fields. - Bachelor’s degree in Computer Science, Data Science, or a related discipline. - Strong understanding of machine learning lifecycle management. - Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Hands-on experience with cloud platforms like AWS, Azure, or bare-metal servers. - Familiarity with Docker and Kubernetes for containerization and orchestration. - Knowledge of CI/CD pipelines, automation tools, and version control (Git). - Strong analytical and troubleshooting skills for ML production systems. - Experience with monitoring tools for model and system performance. - Excellent collaboration skills in cross-functional AI/ML teams.Why Join UsAt Meril / Nuvo AI, you’ll work on cutting-edge AI innovations that are transforming global healthcare. You’ll be part of a dynamic, cross-functional team that values innovation, collaboration, and growth.Location: Vapi, GujaratExperience Level: 3–5 years
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MLOps Engineer
4 weeks ago
New Delhi, India Yotta Data Services Private Limited Full timeAbout the Role:We're looking for a strategic Senior MLOps Engineer to lead the end-to-end design, implementation, and scaling of our AI infrastructure. You'll partner with researchers, product teams, and DevOps to turn prototypes into production services that meet strict SLAs for latency, reliability, and cost efficiency.Responsibilities:• Core MLOps...
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Senior MLOps Engineer
4 weeks ago
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MLOps Engineer
4 weeks ago
New Delhi, India Capgemini Full timeResponsibilitiesExperience 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
4 days ago
New Delhi, India Capgemini Full timeResponsibilitiesExperience 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
4 weeks ago
New Delhi, 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...
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MLOPs
3 days ago
New Delhi, India Meril Full timeJob Title:MLOps Engineer Experience:Minimum 3 Years Location:Chennai Employment Type:Full-time About the Role: We are seeking an experienced MLOps Engineer with a focus on healthcare AI to join our innovative team. This role involves designing, implementing, and maintaining scalable MLOps pipelines for deploying deep learning models, including very deep...
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MLOps Engineer
2 weeks ago
New Delhi, India EROS GenAI Full timeRole Overview We are looking for an experienced MLOps Engineer to build and scale our AI infrastructure across Kubernetes, cloud-native environments, and serverless GPU platforms. You will own the end-to-end operational lifecycle of machine learning models—from training to deployment, monitoring, optimization, and automated retraining.Key Roles • Design...
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MLOps Engineer
2 weeks ago
New Delhi, India EROS GenAI Full timeRole OverviewWe are looking for an experienced MLOps Engineer to build and scale our AI infrastructure across Kubernetes, cloud-native environments, and serverless GPU platforms. You will own the end-to-end operational lifecycle of machine learning models—from training to deployment, monitoring, optimization, and automated retraining.Key Roles• Design...
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SRE & MLOps Engineer
2 weeks ago
New Delhi, 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
2 weeks ago
New Delhi, 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 Own1. Platform Uptime & Reliability - Maintain 99.9%+ uptime. - Monitor and optimize latency for voice agents. 2....