Siemens Jobs India 2025 Hiring Junior Software Developer – AI/ML

Siemens Jobs India 2025 Hiring Junior Software Developer – AI/ML

Siemens Jobs India 2025 is now hiring Junior Software Developers – AI/ML. This is a fantastic opportunity for passionate tech professionals and recent graduates to work on cutting-edge artificial intelligence and machine learning projects that drive real-world innovation. Join Siemens’ dynamic digital team and help shape the future of intelligent systems and industrial automation. If you’re looking to grow your career in AI/ML, now is the time to apply!

Company Name: Siemens

Job Profile: Junior Software Developer – AI/ML

Degree Needed: B.E/B.Tech/M.E/M.Tech

Passout Year: 2024, 2025

Work Location: Bangalore, India

Experience Level: 0 – 1 Years

Requirements:

Use your skills to move the world forward!

• 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..

Job Responsibilities:

You’ll make an impact by:

• 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.

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