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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