AI/Machine Learning Engineering Job Openings At Siemens Energy – Apply Now!

About the Role

As an AI/Machine Learning Engineer at Siemens Energy, you will be responsible for building and maintaining machine learning and basic generative AI pipelines, supporting the development of simple RAG-based and NLP workflows, and contributing to backend APIs to expose ML/AI functionalities.

You will work on text processing tasks such as data cleaning, parsing, chunking, and embeddings, and help integrate AI models into applications and support deployment activities.

Key Responsibilities

• 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.

Skills & Qualifications

• 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.

What You'll Learn

As a fresher, taking this role will provide you with hands-on experience in building and maintaining machine learning pipelines, working with NLP and Generative AI concepts, and contributing to backend APIs.

You will have the opportunity to learn from senior engineers and collaborate with cross-functional teams to deliver features, and stay updated with basic advancements in AI/ML and Generative AI.

Resume Tip

When applying for this role, make sure to highlight your experience with Python, machine learning libraries, and NLP concepts, and mention any relevant projects or academic background you have in AI/ML.

Also, be sure to emphasize your problem-solving skills, willingness to learn, and adaptability in a fast-paced environment.