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In this role you will be reporting to Head - Product & Delivery Management, you will be responsible to Identify, propose, and implements innovative technology, software and/or solutions by contributing with own ideas. Works independently as a member of an R&D team.
Responsibilities:-
- Deploy and maintain ML models in kubernetes (AKS or OpenShift).
- Work closely with the ML team, integration team(s) and the cloud administrators to deploy and integrate ML services into a wide range of products.
- Work towards building a MLOps platform for automated deployment of models.
- Deploy data and ml pipelines in Azure ML pipelines using MLOPs tools.
- Optimizing and maintaining current pipelines for data extraction and model deployment.
- Setup logging, monitoring of machine learning models in production and create end to end automated ml training pipelines.
- Work closely with the ML team to plan, build, maintain, and improve an end- to-end MLOps platform on top of KubeFlow for research, model training, logging and model serving.
Qualification And Experience:-
- BE / B Tech/ Computer Science/EC/EEE.
- Minimum 0-1 Years of experience.
- Experience in Git, Docker, Kubernetes, Helm, Kubectl.
- Workflow orchestrations tools like Apache Airflow, Prefect, MetaFlow, Luigi.
- Machine learning frameworks e.g., PyTorch, TensorFlow, ONNX.
- Model serving in ML and working with frameworks like TensorFlow Serving, TorchServe, KFServing, Seldon, BentoML etc.
Location:-
- Bangalore, India.
Company Overview:-
ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 105,000 talented employees in over 100 countries.