Job Overview
Role: AI/Machine Learning Engineer Location: Gurugram Experience: 0 – 3 Years Qualification: Bachelor’s degree in Computer Science, IT, or a related field Key Skills: Python, ML concepts, NLP, model evaluation, backend API development, GenAI (LLMs, prompt engineering, RAG), NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, Git, AWS, Azure
Job Description
Siemens Energy is hiring an AI/Machine Learning Engineer for its Digital Products and Solutions team in Gurugram, Haryana. This full-time opportunity is for early-career professionals (0-3 years) to build innovative machine learning solutions that transform raw data into actionable insights. You will collaborate with cross-functional teams to design, develop, and maintain robust ML models and workflows, optimizing algorithms and integrating AI capabilities into dynamic applications.
Roles and Responsibilities
- ML & GenAI Pipelines: Assist in building and maintaining pipelines for data preprocessing, training, evaluation, and inference.
- NLP & RAG Workflows: Support the development of simple RAG-based and NLP workflows, handling text processing tasks like data cleaning, parsing, chunking, and embeddings.
- Backend Integration: Contribute to backend APIs (e.g., FastAPI) to expose ML/AI functionalities and integrate AI models into applications.
- Code Quality: Write clean, modular, and testable Python code while adhering to best software development practices.
- Optimization & Debugging: Debug, test, and optimize models and pipelines for performance and reliability in collaboration with senior engineers.
Skills and Eligibility Criteria
Educational Background: Bachelor’s degree in Computer Science, IT, or a related field.
Experience: 0–3 years of experience or a strong academic/project background in AI/ML.
Mandatory Technical Skills:
- Strong programming skills in Python with solid problem-solving abilities
- Basic understanding of ML concepts, NLP, model evaluation, and backend API development
- Exposure to NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, and Git
Competencies:
- Familiarity with GenAI (LLMs, prompt engineering, RAG) is a strong plus
- Exposure to AWS or Azure is advantageous