Sr. Data Scientist

We're hiring a Senior AI Engineer who lives and breathes LLMs, deep learning frameworks, and end-to-end AI pipeline design. This role is for someone who can confidently move beyond fine-tuning chatbots and work with real-world GenAI challenges, from embedding strategies to scalable deployments in production.

Responsibilities:

• Design, build, and deploy LLM-based applications (e. g., summarisation, document parsing, chat assistants).
• Develop scalable, repeatable AI pipelines for training, evaluation, and deployment.
• Fine-tune transformer models using PyTorch, TensorFlow, and Hugging Face Transformers.
• Implement retrieval-augmented generation (RAG) pipelines using FAISS or Weaviate.
• Deploy using FastAPI, Docker, Kubernetes, and GPU cloud infrastructure.
• Integrate prompt engineering and embeddings using LangChain or open-source LLMs.
• Support classic ML models (Scikit-learn, XGBoost) where needed.

Requirements:

• 5+ years of experience in AI/ML with strong LLM/GenAI expertise.
• Strong Python skills and deep knowledge of TensorFlow, PyTorch, and Hugging Face.
• Experience in training and deploying transformer models.
• Familiarity with LLMOps, vector DBs, and cloud deployments.
• Working knowledge of classical ML techniques.
• LoRA/PEFT experience, agent frameworks like CrewAI or LangGraph.
• GitHub or publication record, experience with vision-language models.
• Experience with multi-modal models, NLP/NLU, or vision-language models (e. g., CLIP, Flamingo).