About Zycus Off Campus Drive 2025
Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users.
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Zycus Off Campus Drive 2025 Details
| Company Name | Zycus |
| Job Role | AI Engineer |
| Job Type | Full Time |
| Job Location | Bengaluru/ Pune/ Mumbai |
| Education | BE/ B.Tech/ ME/ M.Tech |
| Career Level | 0 – 2 Years |
| Salary | Not Mentioned |
| Company Website | www.zycus.com |
Job Description For Zycus Off Campus Drive 2025
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- Architect, build, and optimize AI solutions using open-source models (e.g., Hugging Face, Ollama) and third-party LLM APIs.
- Design and implement advanced techniques including RAG, GraphRAG, Agent Systems with orchestration/function calling, and fine-tuning/prompt-tuning of LLMs.
- Deploy and manage self-hosted open-source models (e.g., via vLLM, TensorRT-LLM) with scalable APIs.
- Collaborate with teams to integrate AI/ML solutions into production systems using FastAPI, Flask, or similar frameworks.
- Develop automation pipelines for data retrieval, preprocessing, and model evaluation, ensuring alignment with business use cases.
- Stay ahead of AI trends (e.g., open-source LLM advancements, cost-efficient scaling) and drive strategic adoption.
- Ensure robust monitoring, testing, and documentation of systems for reliability and reproducibility.
Job Requirement
Experience & Qualifications:
- Bachelor’s/master’s in computer science, AI, or related field.
- Expertise in Python and backend frameworks like FastAPI/Flask.
- Hands-on experience with RAG architectures, Agent Systems (function calling/tool use), GraphRAG, or similar LLM-driven workflows.
- Ability to fine-tune LLMs (LoRA, QLoRA) and host/deploy open-source models (Llama 2, Mistral, etc.).
- Proficiency with LLM APIs (OpenAI, Anthropic, Groq) and vector databases (Pinecone, Qdrant, pgvector).
- Familiarity with NLP/ML frameworks (PyTorch, Transformers, LangChain, LlamaIndex) and cloud platforms (AWS, Azure, GCP).
- Skilled in building scalable APIs and microservices for AI applications.
Preferred Qualifications:
- Experience optimizing inference for open-source models (quantization, distillation).
- Familiarity with multi-agent systems, chain-of-thought prompting, or LLM eval frameworks.
- Knowledge of distributed training, GPU optimization, and MLOps (MLflow, Kubeflow).
- Contributions to open-source AI/ML projects.
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Zycus Off Campus Drive 2025 Application Process
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We wish you the best of luck in your Zycus Off Campus Drive 2025. May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work.
