Siemens
Website:
siemens.com
Job details:
Job ID
506863
Posted since
18-May-2026
Organization
Foundational Technologies
Field of work
Research & Development
Company
Siemens Technology and Services Private Limited
Experience level
Experienced Professional
Job type
Full-time
Work mode
Office/Site only
Employment type
Permanent
Location(s)
- Pune - Maharashtra - India
Hello Visionary!
We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.
We are looking for a AI/ML Engineer
You’ll Make a Difference By
- We are looking for a highly motivated AI Developer with hands-on experience in Generative AI technologies, Agentic AI frameworks, and modern AI application development. The ideal candidate should have practical experience designing and building real-world AI solutions using LLMs, autonomous agents, RAG pipelines, and AI orchestration frameworks.
- You will work on enterprise-grade AI systems involving multi-agent workflows, intelligent automation, conversational AI, and domain-specific AI applications. This role requires strong software engineering fundamentals along with exposure to MLOps, DevOps, cloud-native deployment, and frontend integration.
- Key Responsibilities
- Design, develop, and deploy GenAI-powered applications using modern LLM ecosystems.
- Build AI agents and multi-agent systems to solve real business problems.
- Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
- Integrate open-source and commercial LLMs through APIs and self-hosted deployments.
- Create scalable backend services and APIs for AI applications.
- Build intuitive frontend interfaces for AI-powered applications and dashboards.
- Implement prompt engineering, agent memory, tool calling, and workflow orchestration.
- Fine-tune, evaluate, and optimize AI/ML models for performance and cost efficiency.
- Collaborate with architects, product teams, and DevOps engineers to deliver production-grade AI solutions.
- Establish CI/CD pipelines, monitoring, observability, and deployment automation for AI systems.
- Stay updated with emerging trends in GenAI, agentic frameworks, multimodal AI, and autonomous systems.
- Computer Vision Applications: Work on AI-driven computer vision projects, including but not limited to image classification, object detection, segmentation, and image enhancement. Implement innovative computer vision algorithms for solving practical problems.
- AI & ML Algorithms: Leverage machine learning (ML) techniques to improve and fine-tune generative AI models and computer vision systems. Familiarity with both supervised and unsupervised learning techniques is essential.
- Research and Development: Stay up to date with the latest advancements in Generative AI, Computer Vision, and related fields. Experiment with new techniques and frameworks to continually improve the quality and capabilities of our solutions.
- Collaboration: Work closely with data scientists, software engineers, and product teams to deliver high-quality AI-based products. Contribute to the team’s technical discussions and knowledge sharing.
- Model Deployment & Maintenance: Work on deploying and maintaining AI models, ensuring reliability and performance. Set up and manage model training and inference pipelines.
- Qualifications:
- Education: bachelor’s or master’s degree in computer science, mathematics, or a comparable field with a focus on artificial intelligence
- Experience: Minimum of 3 to 4 years of hands-on experience in AI/ML development or data science, with a strong focus on Generative AI and Computer Vision. Experience working with open-source, locally hosted models is highly preferred.
- Technical Skills:
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or openVINO.
- Experience with GenAI or Large Language Models or NLP for training, fine-tuning, and evaluating LLMs
- Experience in computer vision algorithms and frameworks (e.g., OpenCV, Detectron2, YOLO).
- Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning).
- Familiarity with deploying AI models in offline environments and working with locally hosted models.
- Strong mathematical/statistical skills and the ability to clearly understand, define and communicate complex concepts in this area.
- Programming Skills:
- Advanced proficiency in Python and relevant AI/ML libraries (NumPy, SciPy, scikit-learn).
- Familiarity with version control tools (e.g., Git).
- Experience with C++ along with Docker, Kubernetes, or other containerization technologies is a plus.
- Problem Solving: Strong analytical and problem-solving skills with the ability to tackle complex and unstructured problems in AI and computer vision.
- Communication Skills: Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Nice-to-Have:
- Familiarity with AI hardware accelerators (e.g., GPUs, TPUs) and distributed computing.
- Knowledge of AI ethics and privacy considerations, especially in the context of offline AI.
Your Success Is Grounded In
- 2-4 years of experience is required.
- Great Communication skills.
- Analytical and problem-solving skills
Join us and be yourself!
We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.
This role is based in
Pune, where you’ll get the chance to work with teams, impacting entire cities, countries - and the shape of things to come.
We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.
Find out more about Siemens careers at: www.siemens.com/careers & more about mobility at https://new.siemens.com/global/en/products/mobility.html
Click on Apply to know more.