Siemens Off Campus Drive 2025: Siemens is scheduled to hire for the Graduate Trainee Engineer – Junior Software Developer – AI/ML role for B.E/B.Tech/M.E/M.Tech graduates. Candidates looking for jobs in Bangalore can utilise this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. Interested candidates can apply for–>VISA Off Campus Drive 2025
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Siemens Off Campus Drive 2025 – Details:
| Job Role | Junior Software Developer – AI/ML |
| Qualification | B.E/B.Tech/M.E/M.Tech |
| Experience | Freshers/Experienced |
| Job Location | Bangalore |
| Last Date | ASAP |
Detailed Eligibility
- Master’s or Bachelor’s degree in Computer Science, Machine Learning, AI, or related field
Skills & Knowledge Required:
- Exposure in AI/ML, NLP, and Generative AI
- Understanding of LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, vector search
- Experience designing & deploying RAG pipelines and multi-step agent architectures
- Proficiency in Python and frameworks like LangChain, Transformers (Hugging Face), Llama Index, Smol Agents
- Familiarity with ML observability/explainability tools (TruEra, Arize, WhyLabs)
- Knowledge of cloud-based ML services: AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, Azure AI Foundry
- Experience integrating LLM-based agents in production environments
- Understanding of real-time NLP challenges (latency optimization, multi-turn dialogues)
- Familiarity with LangGraph, function calling, orchestration tools
- Exposure to Infrastructure-as-Code (Terraform/CDK) and AI DevOps
- Domain knowledge in Electrification, Energy, or Industrial AI is a plus
Responsibilities:
- Design, develop, and optimize NLP-driven AI solutions using advanced models & techniques (NER, embeddings, summarization)
- Build and productionize RAG pipelines and agent workflows for 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
- Integrate third-party models/APIs and open-source libraries for generative use cases
- Monitor and improve model performance, latency, and accuracy
- Implement observability, performance monitoring, and explainability in deployed models
- Ensure enterprise-level reliability, traceability, and maintainability
How to Apply for Siemens Off Campus Drive 2025?
Interested and eligible candidates can apply for this drive online as soon as possible by following the link below.
Siemens Off Campus Drive 2025: Click here to Apply
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