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Siemens Gamesa Renewable EnergyFound on the web

Posted 4d ago

AI/Machine Learning Engineer

Pay

Salary (undisclosed)

Location

Gurgaon, India

On site

Apply by

15 Oct

5 days left

Skills this role screens for

pythonmachine learning conceptsnatural language processing (nlp)python scientific libraries (numpy, scipy, pandas)api development (rest)entry level

Opens on Siemens Gamesa Renewable Energy's site. Sign in first and we keep it in your pipeline.

About the role

Siemens is hiring for the role of AI/Machine Learning Engineer!

The work

Responsibilities of the Candidate

  • Assist in building and maintaining ML and basic Generative AI pipelines (data preprocessing, training, evaluation, and inference).
  • Support development of simple RAG-based and NLP workflows under guidance.
  • Work on text processing tasks such as data cleaning, parsing, chunking, and embeddings.
  • Contribute to backend APIs (e.g., FastAPI) to expose ML/AI functionalities.
  • Help integrate AI models into applications and support deployment activities.
  • Write clean, modular, and testable Python code following best practices.
  • Collaborate with senior engineers and cross-functional teams to deliver features.
  • Debug, test, and optimize models and pipelines for performance and reliability.
  • Stay updated with basic advancements in AI/ML and Generative AI.

Who they want

Requirements

  • Bachelor’s degree in computer science, IT, or related field.
  • 6 months to 1 years of experience or strong academic/project background in AI/ML.
  • Good programming skills in Python and strong problem-solving ability.
  • Basic understanding of ML concepts, NLP, and model evaluation.
  • Exposure to libraries such as NumPy, Pandas, scikit-learn, or PyTorch/TensorFlow.
  • Familiarity with Generative AI concepts (LLMs, prompt engineering, or RAG is a plus).
  • Basic understanding of APIs and backend development.
  • Exposure to cloud platforms (AWS/Azure) is a plus.
  • Knowledge of Git and basic software development practices.
  • Willingness to learn, adapt, and work in a fast-paced environment

Siemens Gamesa Renewable Energy

Found on the web. You apply on the company's own site

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Where this listing comes from

From a public listing board (Unstop).

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