AI / ML Freshers Jobs Siemens hiring for Junior Software Developer
Siemens
We empower our people to stay resilient and relevant in a constantly changing world. WeΓÇÖre 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 youΓÇÖd make a great addition to our vibrant international team.
- MasterΓÇÖs or BachelorΓÇÖs degree in Computer Science, Machine Learning, AI, or a related field.
- Exposure in AI/ML, with knowlegde in NLP and Generative AI.
- Strong understanding of LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, and vector search.
- Experience in designing and deploying RAG pipelines and working with multi-step agent
- architectures.
- Proficiency in Python and frameworks like Lang Chain, Transformers (Hugging Face), Llama Index, Smol Agents, etc.
- Familiarity with ML observability and explainability tools (e.g., Tru Era, Arize, Why Labs).
- Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, and Azure AI Foundry.
- Experience in integrating LLM-based agents in production environments.
- Understanding of real-time NLP challenges (streaming, latency optimization, multi-turn dialogues).
- Familiarity with Lang Graph, function calling, and tools for orchestration in agent-based systems.
- Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines.
- Domain knowledge in Electrification, Energy, or Industrial AI is a strong plus..
- Design, develop, and optimize NLP-driven AI solutions using state-of-the-art models and
- techniques (NER, embeddings, summarization, etc.).
- Build and productionize RAG pipelines and agentic workflows to support intelligent, context aware applications.
- Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for domain-specific use cases.
- Collaborate with data scientists, backend developers, and cloud architects to build scalable AI first systems.
- Evaluate and integrate third-party models/APIs and open-source libraries for generative use cases.
- Continuously monitor and improve model performance, latency, and accuracy in production settings.
- Implement observability, performance monitoring, and explainability features in deployed models.
- Ensure solutions meet enterprise-level requirements for reliability, traceability, and maintainability.
Siemens
Technology
Siemens Gamesa is part of Siemens Energy, a global leader in energy technology with a rich legacy of innovation spanning over 150 years. Together, we are committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. As a leading player in the wind industry and manufacturer of wind turbines, we are passionate about driving the energy transition and providing innovative solutions that meet the growing energy demand of the global community.