AI/Machine Learning Engineer - Siemens Energy

Key Responsibilities

• Build and maintain ML and basic Generative AI pipelines including data preprocessing, training, evaluation, and inference
• Develop simple RAG-based and NLP workflows under guidance, including text processing tasks such as data cleaning, parsing, chunking, and embeddings
• Contribute to backend APIs (e.g., FastAPI) to expose ML/AI functionalities
• 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

Requirements

• 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