LLM / ML Engineer

Requirements Experience: Minimum 3+yrs, though about 4~7yrs is preferred. 3+yrs in Machine Learning (ML) Minimum 6+months in Large Language Models (LLMs), 1+yrs preferred Skills: Experience with LLM model fine-tuning, training, inference, and deployment Experience with building and deploying scalable LLM-powered applications Experience with LLM libraries, frameworks, tools (such as Langchain, etc.). Having worked with any of LLM models such as GPT, Llama, Claude, Gemini, etc. Working experience in ML frameworks (such as Tensorflow, PyTorch, Keras, Hugging Face Transformers, etc.). Working experience with vector databases (such as Pinecone, FAISS, Weaviate, Milvus, Qdrant, etc.). Optional Skills : Experience building Multi-Agents using LLM. Expertise in backend frameworks: FastAPI, Flask or Django Experience with containerization technologies (e.g., Docker, Kubernetes) Experience with building and deploying applications in cloud environments (e.g., AWS, Azure, GCP). Having published research paper or main contributor of any LLM model or application. Interview Process :

Benefits Be part of a vibrant, high-impact team transforming the future of investments through technology and innovation. Work on challenging and rewarding projects with cutting-edge tools and a diverse, talented team. Enjoy a collaborative, inclusive workplace that fosters growth and creativity. Competitive salary. Family Medical Coverage with an option to include parents Excellent Term Life Insurance Benefit Excellent Accidental Insurance Benefit Office Location: Embassy Golf Links, Domlur (Work From Office)