AI/ML Engineer
Siemens is hiring an AI/ML Engineer in Pune to join their enterprise-grade AI systems team. The role involves designing and deploying GenAI-powered applications, multi-agent workflows, and computer vision projects. Candidates will work with LLMs, RAG pipelines, and various deep learning frameworks to solve complex business problems. Success requires strong software engineering fundamentals and close collaboration with cross-functional teams.
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Experience
2-4 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Siemens is hiring an AI/ML Engineer in Pune to join their enterprise-grade AI systems team. The role involves designing and deploying GenAI-powered applications, multi-agent workflows, and computer vision projects. Candidates will work with LLMs, RAG pipelines, and various deep learning frameworks to solve complex business problems. Success requires strong software engineering fundamentals and close collaboration with cross-functional teams.
TAL's take
Solid tier-2 role at a large global organization with clearly defined technical requirements and project scope.
The JD is comprehensive but lists many concurrent requirements across AI, CV, and software engineering, making it slightly broad.
Salaries at Siemens
19.3 LPA average
Based on 344 Grapevine salary entries for Siemens.
Engineering
0 - 2 years | Level 1 ( one to three years experience)
8 LPA average
Range: 5 - 18 LPA
Engineering
2 - 4 years | 11
16 LPA average
Range: 5 - 30 LPA
Engineering
4 - 6 years | PL11
18 LPA average
Range: 11 - 34 LPA
Engineering
6 - 8 years | P10
21 LPA average
Range: 15 - 38 LPA
Must haves
- 3-4 years of experience in AI/ML development or data science
- Proficiency in deep learning frameworks like TensorFlow, PyTorch, or OpenVINO
- Experience with GenAI, LLMs, or NLP
- Strong knowledge of machine learning algorithms
- Advanced proficiency in Python
- Experience in computer vision frameworks like OpenCV, Detectron2, or YOLO
Tools and skills
Nice to have: c++, docker, kubernetes, gpu, tpu, distributed computing.
About the company
Global industrial conglomerate with large-scale engineering operations.
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