Senior Applied Machine Learning Engineer — Generative AI & LLM Systems
Location: Bengaluru / Hyderabad / NCR (Hybrid / Remote Flexibility)
Employment Type: Full time
Department: Core AI & Machine Learning Engineering
Experience Range: 5–9 Years

About the Company & AI Engineering Culture

As a high-growth deep tech and enterprise SaaS enterprise, our platform bridges complex enterprise data with state-of-the-art Generative AI models. We build custom multi-modal AI pipelines, Retrieval-Augmented Generation (RAG) ecosystems, and fine-tuned large language model architectures that serve hundreds of thousands of enterprise users globally.

Our AI engineering culture values experimental rigor, prompt engineering best practices, effective model quantization, and production-grade inference optimization. We do not just build prototypes; we scale heavy transformer models into low-latency, highly available production endpoints. If you are passionate about pushing the boundaries of applied machine learning and GenAI systems, this is your arena.

Position Overview





We are looking for an expert, hands-on Senior Applied Machine Learning Engineer to design, train, fine-tune, and deploy advanced GenAI and deep learning models into production. In this role, you will own the entire lifecycle of our intelligent services—from data curation and distributed model training to low-latency inference serving and continuous evaluation.

You will collaborate closely with data architects, backend platform engineers, and product managers to translate complex enterprise business cases into scalable, intelligent AI features.

Key Responsibilities & Technical Ownership1. Fine-Tuning & Model Architecture
LLM Customization: Design and execute fine-tuning strategies (LoRA, QLoRA, DPO, RLHF) on open-weights foundation models (Llama, Mistral, DeepSeek) using distributed training frameworks.
Advanced RAG Engineering: Architect hybrid retrieval pipelines combining dense vector embeddings,

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