Machine Learning Engineer

Location: Hyderabad | Work Mode: Onsite

Deccan AI is a Bay Area-headquartered AI infrastructure company, backed by Prosus Ventures, with $25M in Series A funding. We re building the infrastructure and expert systems powering the next generation of AI.

What Youll Do

• Build and productionize LLM, RAG and Agentic AI systems.
• Develop scalable ML/MLOps pipelines for deployment, evaluation and monitoring.
• Work with LLMs, vector databases, embeddings, retrieval, reranking and agent frameworks.
• Build and optimize AI services using Python and modern ML/engineering tools.
• Collaborate with ML, research and engineering teams to take AI systems from prototype to production.

What Were Looking For

• 2-4 years of hands-on ML/AI engineering experience.
• Strong Python and software engineering fundamentals.
• Experience with RAG, Agentic AI, MLOps, LLM applications or ML infrastructure.
• Exposure to tools such as LangChain/LangGraph, vector DBs, Docker/Kubernetes, MLflow/WB or similar.
• Strong problem-solving mindset and ownership.

Good to have: LLM evaluation, fine-tuning (SFT/LoRA/QLoRA/DPO), vLLM or model serving experience.

Note: This role is focused on LLM/GenAI, RAG, Agentic AI and MLOps - Computer Vision / Multimodal experience is not required.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.