Data Science Expert

4 days ago


Shimoga, Karnataka, India beBeeMLOps Full time ₹ 5,00,000 - ₹ 20,00,000
Artificial Intelligence Job

In today's digital landscape, the power of Artificial Intelligence (AI) is transforming industries and driving efficiency. At Schneider Electric, we are committed to harnessing this potential to create a sustainable future.

This role focuses on developing our AI platform, which is used by internal stakeholders to design and deploy AI use cases for external offers and internal functions. The ideal candidate will have a strong background in data science, experience working with AI operational challenges, and a passion for solving complex business technical problems using best-in-class engineering quality and security practices.

The AI platform leverages Azure AWS cloud providers and third-party tools such as Databricks solution. We seek someone who can contribute to the industrialization of the components of the ML technical stack of our AI Platform, assess new third-party AI tools, and participate in their definition architecture development integration test documentation support maintenance phases.

Responsibilities:
• Understand clarify and challenge 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 definition architecture development integration of third-party tools test documentation support maintenance phases
• Ensure the development process follows 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
• Collaborate with internal stakeholders to co-design the new features of the AI Platform
• Regularly embark 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

Required Skills Qualifications and Experience:
• 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
   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
• Soft skills:
   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

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