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MLOps engineer

Schneider Electric India Pvt. Ltd.

5 - 10 years

5 - 9 Lacs

Hubli Mangaluru Mysuru Bengaluru Belgaum

Posted:1 day ago| Platform:

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Skills Required

data science Artificial Intelligence Cloud Manager Technology Agile Programming Scrum AWS Python Teaching

Work Mode

Work from Office

Job Type

Full Time

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 MLOps 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 with a strong data science background, who has a significant experience working on AI operational challenges, 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 leverages third party tools such as 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

Understand, clarify and challenges the needs of our stakeholders about AI tools to be integrated into the AI platform

Assess new third-party AI tools by identifying their value & limitations, based on the identified needs

Contribute to the industrialization of the components of the ML technical stack of our AI Platform, by participating to their definition, architecture, development, integration of third-party tools, test, documentation, support & maintenance phases

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

Write ML pipelines examples to illustrate the AI Platform capabilities

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

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

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

Regularly be embarked into one of our internal stakeholders teams to bring support & expertise on the usage of the AI platform and AI topics and, in return, collect platform evolution needs

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

Contribute to the technical watch on ML topics

Be the data science referent of AI Technology by bringing data science expertise to other AI Technology teams when relevant.

Qualifications

Requirements and Skills

Technical skills:

Minimum 5 years of experience as AI engineer

First experiences as data scientist

Previous experiences as MLOps engineer or AI engineer are required

Past experiences of deploying ML applications up to production are required

Past experiences of operating ML applications in production are required

Strong academic knowledge in the domain of ML & data science

Very good knowledge of MLOps practices

Master DevOps tools & processes : CI/CD, GitHub, GitHub actions

Master Python programming language

Master Azure AI Services (Azure ML Services) or AWS AI Services (AWS SageMaker)

Good general knowledge of at least one of the following cloud service providers stacks : Azure or AWS

Knowledge of GenAI, LLM & LangChain products (LangChain, LangSmith, LangGraph) is a plus

Knowledge of databricks is a plus

Familiar with agile methodologies: Scrum, SAFe

Soft skills:

Rigorous mindset, but still open to changes

Autonomous and good team player

Curious

Like to coach, teach and bring support to others

At ease in an international work environment

Fluent English

Effective communication skills (clear, concise)

Schedule: Full-time
Req: 009HD9

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MLOps engineer