Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.
Performs a structured vocational training in a specified technical functional area, with the intention of getting a recognized practical qualification.
Job Description:
We're looking for a curious, motivated AI Intern to join our team. This is a hands-on role where you'll work alongside engineers and researchers on real AI/ML projects, from prototyping models to deploying them. You'll gain exposure to the full lifecycle of building AI products and have the opportunity to ship work that goes into production.
What You'll Do:
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Assist in building, training, and evaluating machine learning and deep learning models
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Work with large language models (LLMs) — prompt engineering, fine-tuning, RAG pipelines, or agentic workflows
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Clean, preprocess, and analyze datasets to support model development
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Write clean, well-documented Python code and contribute to internal tools and APIs
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Help benchmark model performance and run experiments to improve accuracy and efficiency
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Read recent AI research papers and share insights with the team
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Collaborate with product, engineering, and design teams to integrate AI features into our products
Who You Are:
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Final-year or recently graduated student from a B.E. / B.Tech / M.Tech program in Computer Science, AI/ML, Data Science, Electronics, or related fields
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Solid programming foundation in Python; familiarity with Git
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Hands-on experience (coursework, projects, or hackathons) with at least one ML framework — PyTorch, TensorFlow, or scikit-learn
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Understanding of core ML concepts: supervised/unsupervised learning, neural networks, evaluation metrics, overfitting
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Comfortable with data manipulation libraries — NumPy, Pandas
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Strong problem-solving skills and willingness to learn quickly
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Good written and verbal communication
Nice to Have:
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Experience working with LLMs (OpenAI, Anthropic, Hugging Face) or building chatbots/RAG systems
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Familiarity with cloud platforms (AWS, GCP, Azure) or containerization (Docker)
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Knowledge of vector databases, embeddings, or LangChain / LlamaIndex
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Open-source contributions, Kaggle competitions, or a personal portfolio of AI projects
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Research publications or coursework in NLP, computer vision, or reinforcement learning
What You'll Get:
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Mentorship from experienced AI engineers and researchers
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Exposure to real production systems and modern AI tooling
Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.
How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
To find out more about Healthineers’ specific businesses, please visit our company page here.
As an equal opportunity employer, we welcome applications from individuals with disabilities.
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