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Schneider Electric

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4.1

based on 3.8k Reviews

Video summary

1 Schneider Electric Operations Engineer Job

ML Ops Engineer

Schneider Electric India Pvt. Ltd.

4.1

based on 3.8k Reviews

5-6 years

Hubli, Mangaluru, Mysuru / Mysore + 2 more

1 vacancy

ML Ops Engineer

Schneider Electric

posted 21d ago

Job Role Insights

Flexible timing

Key skills for the job

DevOps AWS Cloud Computing Artificial Intelligence Automation Testing Machine Learning

+ 4 more

Job Description

Job Profile

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability.

As part of the AI Technology group (70 people), we are seeking an ML engineer who can contribute to the development of our AI platform, which is used by our internal stakeholders to design and deploy AI use cases for our external offers and internal functions. We look for someone who is passionate about solving complex business & technical problems by applying best in class engineering, quality, and security practices in the context of AI software developments & integration.

Our AI platform is built on top of Azure & AWS cloud providers, and also leverages Databricks solution.

If youre excited by the opportunity to positively impact business processes through innovation and application of advanced technologies, you will feel at home.

Responsibilities

Contribute to the industrialization of the ML & GenAI technical stacks of our AI Platform, by participating to their definition, architecture, development, test, documentation & maintenance phases

Ensure the development process of this stack follows the DevSecOps recommendations & best practices

Write ML pipelines to illustrate the AI Platform capabilities

Contribute to the CI/CD workflows developments to automate the integration and deployment of the various ML assets (code or models) into the different environments

Contribute to the definition of the LLMOps / MLOps operating model and make sure the AI Platform enforces this model

Collaborate with our internal stakeholders to co-design the new features of the AI Platform

Occasionally be embarked into one of our stakeholders teams to help them using the AI platform, write ML pipelines, and, in return, collect platform evolution needs

Occasionally contribute to the collective effort of run & support for the AI Platform

Requirements and Skills

5+ years of experience in ML Engineering

Employment Type: Full Time, Permanent

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