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Siemens Recruitment Drive; Hiring Junior Software Developer – Apply Now


Junior Software Developer - AI/ML Job Openings in Bangalore 2025!!!

Siemens announced job vacancy for the post of Junior Software Developer - AI/ML. The place of posting will be at Bangalore. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company

Siemens

Required Qualifications

Graduate / Post Graduate

Skills

LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, and vector search

Category

Internal Services

Work Type

Onsite

They empower their people to stay resilient and relevant in a constantly changing world. They’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 their vibrant international team.

Θ Positions: Junior Software Developer - AI/ML (Graduate Trainee Engineer)

Θ Job Location: Bangalore

Θ Salary: As Per Company Norms

Θ Job Type: Full Time

Θ Requisition ID: 473759

Roles and Responsibilities:

  • 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.

Required Skills & Qualifications:

  • Master’s or Bachelor’s 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..

 

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