| Company Name | Siemens Technology |
| Job Role | Junior Software Developer – AI/ML |
| Qualification | Bachelor’s or Master’s in Computer Science, AI, Machine Learning. |
| Experience | Freshers |
| Salary | 3 – 5 LPA(Expected) |
| Location | Bangalore, India |
About Siemens
At Siemens Technology, we empower people to stay resilient and relevant in a constantly changing digital world. We are seeking passionate innovators who thrive on solving real-world challenges with AI and cutting-edge technology. If you want to make an impact now and in the future, join our dynamic international team.
Position Overview
We are hiring a Graduate Trainee Engineer – AI/ML to work on NLP, Generative AI, and Large Language Models (LLMs). In this role, you will design, develop, and deploy advanced AI solutions, including RAG pipelines, LLM fine-tuning, and intelligent agent-based workflows.
Key Responsibilities
- Design, develop, and optimize NLP-driven AI solutions (NER, embeddings, summarization, etc.).
- Build and productionize Retrieval-Augmented Generation (RAG) pipelines and agent workflows.
- Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.).
- Collaborate with data scientists, backend developers, and cloud architects to deliver scalable AI-first systems.
- Integrate third-party models, APIs, and open-source AI frameworks.
- Monitor and improve model performance, latency, and accuracy in production.
- Implement observability, explainability, and performance monitoring for AI models.
- Ensure solutions meet enterprise-grade reliability and maintainability standards.
Required Skills & Qualifications
- Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
- Exposure to NLP and Generative AI concepts.
- Strong understanding of LLM architectures, LoRA, PEFT, embeddings, vector search.
- Proficiency in Python and frameworks like LangChain, Hugging Face Transformers, LlamaIndex, Smol Agents.
- Familiarity with ML observability tools (TruEra, Arize, WhyLabs).
- Experience with cloud AI platforms (AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, Azure AI Foundry).
- Knowledge of real-time NLP challenges (streaming, multi-turn dialogues).
- Understanding of Terraform/CDK and AI DevOps pipelines.
- Domain knowledge in Electrification, Energy, or Industrial AI is a plus.
How to Apply
After checking all the Responsibilities, skills & eligibility criteria, if you are interested and eligible for this role. Then, do apply by the following link
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