MLOPs
1 week ago
MLOps Engineer Experience: Minimum 3 Years Employment Type: Full-time 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 vision models and large language models (LLMs), in clinical research, diagnostics, and healthcare analytics. The ideal candidate will have hands-on experience in healthcare AI environments, ensuring reliable, efficient, and compliant model deployments. Design and implement CI/CD pipelines for machine learning models using tools like Jenkins, GitHub Actions, or GitLab CI. ● CNNs for medical imaging) and LLMs (e.g., for NLP in clinical notes) in production environments using Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, GCP). ● Develop monitoring, logging, and alerting systems for ML models to ensure performance, drift detection, and retraining triggers using tools like Prometheus, Grafana, or MLflow. ● Collaborate with data scientists, AI engineers, and clinicians to integrate models into healthcare workflows, handling large-scale medical datasets. ● Implement version control for models and data using tools like DVC, MLflow, or Kubeflow. ● HIPAA, GDPR) through secure data handling, model auditing, and privacy-preserving techniques. ● Troubleshoot deployment issues and perform A/B testing for model iterations. ● Must-Have Skills & Experience ● Bachelors or Masters degree in Computer Science, Engineering, or a related field. ● Minimum 3 years of experience as an MLOps Engineer or in a similar role. ● Hands-on experience deploying very deep vision models (e.g., ResNet, U-Net for medical imaging) and LLMs (e.g., Some experience in healthcare AI, such as working with medical imaging data (DICOM) or clinical datasets. ● Proficiency in Python, containerization (Docker), orchestration (Kubernetes), and CI/CD. ● Familiarity with ML frameworks like TensorFlow, PyTorch, and MLOps platforms like Kubeflow, SageMaker, or Vertex AI. ● Strong understanding of cloud computing, DevOps practices, and version control (Git). ● Knowledge of data security and regulatory compliance in healthcare.
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MLOPs
3 weeks ago
Chennai, India Meril Full timeJob Title: MLOps Engineer Experience: Minimum 3 YearsLocation: ChennaiEmployment Type: Full-timeAbout 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
20 hours ago
Chennai, India Meril Full timeJob Title: MLOps EngineerExperience: Minimum 3 YearsLocation: ChennaiEmployment Type: Full-timeAbout 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
15 hours ago
Chennai, 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
14 hours ago
Chennai, 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
2 weeks ago
Chennai, India Meril Full timeJob Title: MLOps EngineerExperience: Minimum 3 YearsLocation: ChennaiEmployment Type: Full-timeAbout 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
2 weeks ago
chennai district, 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
8 hours ago
Chennai, Tamil Nadu, India, Tamil Nadu Meril Full timeJob Title: MLOps EngineerExperience: Minimum 3 YearsLocation: ChennaiEmployment Type: Full-timeAbout 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
1 week ago
Chennai, India Pozent Full timeMLOps Engineer with 5-8 years of experience who will be responsible for taking Data Science models and scaling them out to production by creating DevOps pipelines that automate the data collection, prep, transform, analyze, experiment, train, validate, serve, monitor, etc. stages.
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Senior MLOps Engineer
3 weeks ago
Chennai, India Yubi Group Full timeJob Description About YUBI Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfilment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to...
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Mlops engineer
3 days ago
Chennai, 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...
