13 Aug
|
Pi Investment Advisory
|
Bengaluru
13 Aug
Pi Investment Advisory
Bengaluru
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.
Market-market-competitive salary.
Family Medical Coverage with an option to include parents
Excellent Term Life Insurance Benefit
Excellent Accidental Insurance Advantage
Office Location: Embassy Golf Links, Domlu
📌 Llm / Ml Engineer Bengaluru
🏢 Pi Investment Advisory
📍 Bengaluru