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Siemens Off Campus Drive 2025: Junior Software Developer – AI/ML Posts | Apply Now!

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Siemens Off Campus Drive 2025: Are you an early professional looking for a promising career in AI and Machine Learning? Siemens Off Campus Drive 2025 is hiring Junior Software Developers specializing in AI/ML for their Bangalore location. This is a fantastic opportunity for fresh graduates and early professionals with a passion for cutting-edge AI technologies to join a global leader in electrification and industrial automation.

Siemens International Inc., a world-renowned technology company, is conducting its Off Campus Drive in 2025 to recruit talented candidates for the role of Junior Software Developer – AI/ML. Candidates with a strong foundation in AI, Machine Learning, NLP, and Generative AI technologies are encouraged to apply.

OrganizationSiemens International Inc.
Job CategoryPrivate IT Jobs
Employment TypeRegular / Full-Time
PositionJunior Software Developer – AI/ML
LocationBangalore, India
SalaryNot Specified
Application ModeOnline
Official Websitesiemens.com

As a Junior Software Developer at Siemens, you will:

  • Design, develop, and optimize NLP-driven AI solutions, including Named Entity Recognition (NER), embeddings, and summarization.
  • Build and productionize Retrieval-Augmented Generation (RAG) pipelines and agentic workflows for intelligent applications.
  • Fine-tune, prompt-engineer, and deploy large language models (LLMs) such as OpenAI, Anthropic, Falcon, and LLaMA for domain-specific tasks.
  • Collaborate with data scientists, backend developers, and cloud architects to build scalable AI-first systems.
  • Integrate third-party models, APIs, and open-source libraries for generative AI use cases.
  • Monitor and improve model performance, latency, and accuracy in production environments.
  • Implement observability, performance monitoring, and explainability in deployed models.
  • Ensure enterprise-grade reliability, traceability, and maintainability of AI solutions.

To apply for Siemens Off Campus Drive 2025, candidates must have:

  • A Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields.
  • Strong knowledge of AI/ML concepts with hands-on experience in NLP and Generative AI.
  • Expertise in LLM architectures and fine-tuning techniques such as LoRA and PEFT.
  • Experience designing and deploying RAG pipelines and multi-step agent workflows.
  • Proficiency in Python and frameworks like LangChain, Hugging Face Transformers, LlamaIndex, and Smol Agents.
  • Familiarity with ML observability tools like TruEra, Arize, and WhyLabs.
  • Knowledge of cloud-based ML services including AWS SageMaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, and Azure AI Foundry.
  • Experience integrating LLM-based agents in production with real-time NLP optimizations.
  • Familiarity with DevOps and infrastructure-as-code (Terraform/CDK) for AI pipelines.
  • Bonus: Domain knowledge in Electrification, Energy, or Industrial AI is a plus.

The Siemens recruitment process involves an interview round designed to evaluate your technical skills and cultural fit. Prepare well to showcase your expertise in AI/ML and software development.

Good news! There is no application fee for Siemens Off Campus Drive 2025. Eligible candidates can apply without any charges.

Interested and eligible candidates can apply online via the official Siemens careers portal. Follow these steps:

  1. Visit the official Siemens careers page: https://jobs.siemens.com/careers
  2. Search for the Junior Software Developer – AI/ML position.
  3. Fill in the application form with accurate details.
  4. Submit your resume and other required documents.
  5. Keep an eye on your email for interview call updates.

Important Links:

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The Siemens Off Campus Drive 2025 is a golden opportunity for freshers and early professionals who want to make a mark in AI and software development. Apply now and take your career to the next level!

If you want me to help draft a cover letter or prepare for the interview, just let me know!

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