Join a forward-thinking, innovation-driven organisation where AI isnt just a buzzword its the engine driving growth. This role is all about pushing boundaries : from transformer architecture and speech-to-text models to retrieval-augmented generation pipelines and GenAI deployments in the cloud .
Here, youll collaborate with top talent, solve real-world challenges, and have the chance to build intelligent systems that change the way businesses work. If youre passionate about turning complex AI into smart, impactful solutions, then this is the opportunity for you.
Key Responsibilities :
- Build, fine-tune, and deploy Large Language Models (LLMs) across domains.
- Develop and implement chatbots, transcription systems, and RAG pipelines .
- Design and optimise end-to-end ML lifecycles , from data preprocessing to production deployment.
- Leverage vector databases (Pinecone, FAISS, Weaviate, and Milvus) for retrieval-augmented generation.
- Drive innovation by applying GenAI, NLP, and advanced ML techniques to real-world business problems.
Job Experience and Skills Required :
Education : Degree in Computer Science, Data Science, AI / ML, or a related field (Post-grad a bonus).Experience : Hands-on with LLMs, transformer architectures, and NLP frameworks .Technical Skills : Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, OpenAI & Anthropic APIs, Docker, Kubernetes, AWS / Azure / GCP ML platforms, and MLOps pipelines.Other : Strong track record in AI model training, deployment, and optimisation . Bonus if youve presented papers or talks in AI / ML conferences.Apply now!
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