ML Ops Engineer

Schneider Electric • tirunelveli, India

1 day ago

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 you're 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

Qualifications - External

Requirements and Skills

5+ years of experience in ML Engineering

Strong knowledge on Machine Learning (including ML model management context) and GenAI technologies (including RAG)

Previous hands-on experience on MLOps or LLMOps disciplines is mandatory

Good knowledge of DevOps processes at scale and experience of production systems

Rigorous mindset (but still open to changes), oriented towards customers, problems solving & results

Good team player

Autonomous

Ideally, some knowledge of Energy Management and Automation market

At ease in an international work environment & fluent in english

Familiar with agile methodologies : Scrum, SAFe

Technologies :

Azure and / or AWS cloud technologies and their respective ML plateforms (AzureML, AWS SageMaker)

Databricks

Github, Terraform

ML Tools such as MLFlow

GenAI & LLM tools

Create a job alert for this search

Ml Engineer • tirunelveli, India

Related jobs

Optimization Specialist

Trantor • tirunelveli, India

Trantor is a global technology services company delivering cutting-edge digital transformation, cloud engineering, and product innovation solutions. Since 2012, we’ve partnered with global enterpris...Show more

Last updated: 2 days ago • Promoted

Software Engineer

Get Jobs • tirunelveli, tamil nadu, in

Outsmart Artificial Intelligence with your human brilliance.In this role, you’ll leverage your coding expertise to evaluate, refine, and guide AI systems by applying real-world engineering standard...Show more