Siemens Energy is inviting applications from talented and ambitious graduates for its AI/ML job openings in Gurugram. This is an excellent opportunity for candidates looking to build a career in Artificial Intelligence and Machine Learning with one of the world’s leading energy technology companies. The role offers hands-on experience with cutting-edge technologies, exposure to global projects, and a competitive salary package ranging from ₹8 LPA to ₹12 LPA. If you are passionate about data-driven innovation and advanced analytics, this opportunity could be the perfect start to your professional journey.
Job Overview
| Details | Information |
|---|---|
| Company Name | Siemens Energy |
| Role | AI/ Machine Learning Engineer |
| Qualification | Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field |
| Job Location | Gurugram, Haryana |
| Salary | ₹8 LPA – ₹12 LPA |
| Work Type | Hybrid / On-site |
| Job Type | Full-Time |
| Job Level | Entry Level / Associate |
| Industry | Energy Technology, Artificial Intelligence, Machine Learning |
Job Description
We are seeking a skilled AI/Machine Learning Engineer to join our team and help build innovative machine learning solutions that drive business outcomes. You will collaborate with cross-functional teams including data scientists, software engineers, and product managers to design, develop, and maintain robust machine learning models and workflows. Your work will involve transforming raw data into actionable insights, optimizing algorithms for performance, and integrating AI capabilities into dynamic applications to provide seamless user experiences and enhanced functionality.
How You’ll Make an Impact
- 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.
What You Bring
- Bachelor’s degree in computer science, IT, or related field.
- 0–3 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
Selection Process
- Application Submission
- Resume Screening
- Online Assessment
- Technical Interview
- Managerial Interview
- HR Interview
- Final Offer Letter
How to Apply
- Visit the official application page.
- Review the job description and eligibility criteria.
- Click on the “Apply Now” button.
- Create an account or log in to your existing profile.
- Fill in the required personal and academic details.
- Upload your updated resume and supporting documents.
- Submit the application form.
- Wait for communication from the recruitment team regarding the next steps.
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