LLM / ML Engineer

About the Role :

We are seeking a highly motivated and talented LLM/ML Engineer to join our team. This is a work from office role and where you will play a critical role in researching, developing, and deploying cutting-edge machine learning models and applications, particularly focusing on Large Language Models (LLMs), to enhance investment decision-making processes.

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)

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)