Job Location: Bengaluru
DevOps Engineer
Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future. At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.
You will be working as DevOps Engineer will be reporting to Product & Delivery Management Head and will be a part of GBS located in Bangalore, India. In this role you will be primarily responsible for Identifying, proposing, and implementing innovative technology, software or solutions by contributing with own ideas. Works independently as a member of an R&D team
Your responsibilities
- Deploying and maintaining ML models in kubernetes (AKS or OpenShift)
- Working closely with the ML team, integration team(s) and the cloud administrators to deploy and integrate ML services into a wide range of products
- Working towards building a MLOps platform for automated deployment of models
- Deploying data and ml pipelines in azure ML pipelines using MLOPs tools
- Optimizing and maintaining current pipelines for data extraction and model deployment
- Creating and Setup logging, monitoring of machine learning models in production and create end to end automated ml training pipelines
- Working closely with the ML team to planning, building, maintaining, and improving an end- to-end MLOps platform on top of kubeFlow for research, model training, logging and model serving
Your background
- Bachelor’s degree in BE/B.Tech
- 1-2 year experience in Git, Docker, Kubernetes, Helm, Kubectl
- Experience with workflow orchestrations tools like Apache Airflow, Prefect, MetaFlow, Luigi
- Should have worked on model serving in ML and working with frameworks like TensorFlow Serving, TorchServe, KFServing, Seldon, BentoML etc
- Should have knowledge in machine learning frameworks e.g., PyTorch, TensorFlow, ONNX
More about us
ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. The Process Automation (PA) business area (>$6B revenue in 2021, 22,000 employees), automates, electrifies and digitalizes some of the most complex industrial infrastructures on this planet. Through its five divisions, it serves customers in the energy, process and hybrid industries – from hydrocarbons, chemicals, water, mining, minerals, pulp & paper to marine and ports, and many more. PA stands at the heart of some of the most important shifts in society, helping the energy-intense industries to safer, smarter and more sustainable operations to enable a prosperous, low-carbon society. For more information on PA, refer to https://global.abb/group/en/investors/strategy-events/pa-capital-markets-day-2022 We look forward to receiving your application (documents submitted in English are appreciated). If you want to discover more about ABB, take another look at our website www.abb.com. It has come to our attention that the name of ABB is being used for asking candidates to make payments for job opportunities (interviews, offers). Please be advised that ABB makes no such requests. All our open positions are made available on our career portal for all fitting the criteria to apply. ABB does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection to recruitment with ABB, even if is claimed that the money is refundable. ABB is not liable for such transactions. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning. Work model: on site #LI-onsite
Submit CV To All Data Science Job Consultants Across Bharat For Free