Data Scientist((Gen AI - Data Scientist - Deep Learning, ML,NLP/LLM,Pyspark/Databricks,Python))

Key responsibilities: Horizon Role : Data Scientist Horizon Job: Machine Learning Engineer Location : Pune have Hands on Experience of handling GenAI Use cases Developer should have expertise and experience on Developing Databricks Jobs for Ingestion of Data for Learnings. Create partnership with project stakeholders to provide technical assistance regarding important decisions. Extensive exposure of working with Various LLM's such as Lama, Gpt and pthers Developer will work on Development and implementation of Gen AI Use-cases in Live Production, as per requirement from Business /Users Technical Skills: Mandatory Skills: Experience in Deep learning engineering (mostly on MLOps) Strong NLP/LLM experience and processing text using LLM Proficient in Pyspark/Databricks & Python programming. Building backend applications (data processing etc) using Python and Deep learning frame works. Deploying models and building APIS (FAST API , FLASK API) Need to have experience working with GPU'S. Working knowledge of Vector databases like 1) Milvus 2) azure cognitive search 3) quadrant etc Experience in transformers and working with hugging face models like llama, Mixtral AI and embedding models etc. Good to have: Knowledge and experience inKubernetes, docker etc Cloud Experience working with VM'S and azure storage. Sound data engineering experience.

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our approximately 30,000 employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $4.89 billion in fiscal 2023.