Hello eager tech expert!
To create a better future, you need to think outside the box. That’s why we at Siemens need innovators who aren’t afraid to push boundaries to join our diverse team of tech gurus. Got what it takes? Then help us create a lasting, positive impact!
At Siemens, we build technological solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over 300.000 of the world’s most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.
At the India Tech Hub, we take on challenges to make life easier, safer, and more sustainable for us and generations to come. We bring value to the business digitalization transition, from India to the world, in areas such as Artificial Intelligence, Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management, IT Strategy, User Experience, and many more.
You’ll break new ground by:
- Applied AI & LLM Engineering
- Build and fine-tune LLMs for enterprise use cases such as classification, summarization, and response generation.
- Integrate LLM APIs and Azure-native AI services into business workflows.
- Develop intelligent agents using platforms like Copilot Studio and orchestrate them across enterprise systems.
- Automation & System Integration
- Design scalable pipelines for real-time data processing and model inference.
- Collaborate with domain IT teams to embed AI into tools like SAP, Microsoft 365, and Exchange.
- Ensure seamless integration with existing business processes.
- Innovation & Impact
- Lead initiatives that transform manual processes into intelligent, automated experiences.
- Drive experimentation with GenAI to solve real-world business challenges.
- Translate business needs into AI-driven solutions with measurable outcomes.
- Collaboration & Enablement
- Work with cross-functional teams across AIDA and Asia Pacific to deliver regionally scalable solutions.
- Provide technical mentorship and support for AI adoption across business units.
- Contribute to internal knowledge sharing and best practices.
You’re excited to build on your existing expertise, including:
- 3 to 5 years of experience in ML/AI engineering.
- Hands-on with Python, PyTorch, Hugging Face, Azure ML, RESTful APIs.
- Experience with LLMs, prompt engineering, RAG, LoRA, and GenAI frameworks.
- Familiarity with enterprise platforms like SAP, Microsoft 365, and Copilot Studio.
- Strong communication and stakeholder management skills.
- Ability to simplify complex AI concepts for business audiences.
- Passion for solving real-world problems with technology.
- Bachelor’s or master’s degree in computer science, Engineering, or related field.
- Certifications in AI/ML, Azure, or enterprise automation are a plus.