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Siemens Gamesa Renewable Energy
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AI ML Developer - MLOps Engineer

AI ML Developer - MLOps Engineer

Siemens Gamesa Renewable Energy

2 - 7 years

4 - 9 Lacs

pune

Posted:4 days ago| Platform:

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Skills Required

computer science git machine learning agile siemens workflow application development taxation medical insurance python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Company

Siemens Energy Industrial Turbomachinery India Private Limited

Organization

Transformation of Industry

Business Unit

Compression

Full / Part time

Full-time

Experience Level

Experienced Professional

A Snapshot of Your Day: Join a forward-thinking team dedicated to harnessing the transformative power of AI within the energy sector.
As an MLOps Engineer you will ensure that machine learning models are seamlessly integrated into workflow. You will proactively work with an existing AI Development team to design and deliver sophisticated, scalable, and resilient Generative AI based solutions on a Cloud Based platform. How You ll Make an Impact:

Generative AI Application Development: Collaborate with developers and stakeholders in Agile teams to integrate LLMs and classical AI techniques into end-user applications, focusing on user experience, and real-time performance.
End-to-End Pipeline Development: Build and maintain production-ready end-to-end ML pipelines, including data ingestion, preprocessing, training, evaluation, deployment, and monitoring; automate workflows using MLOps best practices to ensure scalability and efficiency.
You are expected to be proficient in building and deploying models using AWS SageMaker and/or Azure ML Studio and able to monitor model performance, resource utilization and take corrective actions.
Collaboration: Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes.

What You Bring:

Bachelor s degree in computer science, Data Science, or a related field with a strong understanding of machine learning concepts and algorithms.
2+ years programming proficiency in Python with AI/ML libraries is a must.
2+ years of experience with cloud platforms like AWS and/or Azure and their respective machine learning services like but not limited to Amazon SageMaker and/or Azure ML Studio.
2+ years experience in FAST API development , relevant REST API development in C#, .
NET will be considered.
Familiarity with DevOps practices and tools (Docker, K8s, Git)
Solid Understanding of software engineering principles and practices
Working knowledge Vector Databases and generating Embeddings is an add-on
Hands-on experience in machine learning frameworks like TensorFlow or PyTorch is good to have.
Ability to provide support and guidance to cross functional teams in MLOps practices.

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AI ML Developer - MLOps Engineer