Senior MLOps Engineer - Bangalore

The MLOps Engineer will drive ML prototypes into production ensuring seamless deployment and management on cloud at scale. · ...

We are looking for a senior MLOps / DataOps Engineer to productionise and operate machine learning and data pipelines used in live public-sector forecasting systems. · Design, implement, and operate end-to-end ML and data pipelines on AWS (EC2, S3). · Productionise research and f ...

We are seeking an experienced MLOps Engineer with experience to design, build and maintain scalable machine learning infrastructure and deployment pipelines. · Design and implement end-to-end MLOps pipelines for model training, validation, deployment, monitoring and retraining. · ...

Looking for an MLOps Engineer with strong Azure & DevOps experience to build deploy and monitor scalable ML pipelines. · ...

We are seeking a highly skilled MLOps Engineer to design and implement robust scalable ML pipelines on Azure Databricks. · Design and implement robust scalable ML pipelines on Azure DatabricksAutomate data ingestion preprocessing model training and deployment workflowsIntegrate M ...

We are seeking a MLOps Engineer to design, build, and operate scalable machine learning and GenAI platforms. · With a strong focus on Databricks-based ML ecosystems and LLM-driven workflows. · ...

Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. · ...

We are seeking an experienced MLOps Engineer to design implement and maintain scalable machine learning pipelines and infrastructure · The ideal candidate will bridge the gap between data science and production systems ensuring robust deployment monitoring and lifecycle managemen ...

We are looking for a skilled MLOps Engineer to support the end-to-end lifecycle of machine learning models · ...

Design and implement end-to-end ML pipelines for model training and deployment. · ...

KPI Partners is hiring an experienced MLOps Engineer to build and operate productiongrade infrastructure for AI/ML and LLM platforms. · Design and operate scalable model serving for ML models and LLMs · ...

We are seeking a Staff-level MLOps Engineer to architect, build, and operationalize the deep learning platform for large-scale computer vision systems. · MLOps Platform Ownership (Staff-level) · Data Engineering for ML · Computer Vision & Deep Learning · Cloud & Infrastructure · ...

We are seeking a Staff level MLOps Engineer to architect, · build and operationalize the deep learning platform for large scale computer vision systems. · This role is ideal for someone who can work independently, · define technical direction and build end to end ML pipelines fro ...

MLOps Engineer responsible for designing and implementing scalable MLOps pipelines using Python and Kubernetes. · ...

The Puma AI & Machine Learning team is looking for MLOps Engineer to join in Bangalore HQ. · ...

We are looking for a MLOps Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries. · A MLOps Engineer is needed to work with data scientists to transition machine learning models from development to prod ...

MLOps engineer to drive ML prototypes into production ensuring seamless deployment and management on cloud at scale. · ...

Pipeline Development: Design and maintain scalable MLOps pipelines. Model Deployment: Deploy machine learning models into production environments. CI/CD Automation: Automate continuous integration and deployment processes for ML workflows. · ...

Design and build robust ML pipelines and services for training; validation; and model deployment. · ...

Lead the development automation and operationalization of both traditional ML and GenAI solutions using Azure Databricks MLflow and other cloud services. · ...

MLOps engineer with experience in MLOps / DevOps / ML engineering required to build and manage end-to-end ML pipelines, deploy and monitor ML models in production, and manage Azure ML infrastructure and workflows. · ...