Data Scientist- Gen AI (3-6 Yr)(Pune/Gurgaon)

Required Travel :Minimal \nManagerial - No \nLocation: :India- Pune (Amdocs Site) \n\n## Who are we?\n\nAmdocs helps those who build the future to make it amazing. With our market-leading portfolio of softwareproducts and services, we unlock our customers\u2019 innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Ourapproximately 30,000 employees around the globe are here to accelerate service providers\u2019 migration to the cloud,enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQGlobal Select Market, Amdocs had revenue of $4.89 billion in fiscal 2023.\n\n## In one sentence\n\nResponsible for design, development, modification, debug and/or maintenance of software systems\n\n## What will your job look like?\n\n * Hands-on experience in handling and implementing GenAI use cases across the development lifecycle.\n * Expertise in designing and developing Databricks Jobs for data ingestion, preparation, and learning pipelines.\n * Ability to partner closely with project stakeholders to provide technical guidance and support in critical decision-making.\n * Extensive exposure to working with various LLMs such as LLaMA, GPT, and other large\u2011scale transformer models.\n * Responsible for end\u2011to\u2011end development and implementation of GenAI use cases in live production environments, based on business and user requirements.\n\n\n\n## All you need is...\n\n## \u2705 Mandatory Skills\n\n * Hands\u2011on experience in Deep Learning Engineering, with strong exposure to MLOps practices.\n * Strong expertise in NLP / LLMs, including text processing and fine\u2011tuning large language models.\n * Proficient in PySpark, Databricks, and Python programming.\n * Experience building backend data-processing applications using Python and deep learning frameworks.\n * Skilled in model deployment and building APIs using FastAPI and Flask.\n * Practical experience working with GPUs for training and inference workloads.\n * Working knowledge of vector databases such as Milvus, Azure Cognitive Search, Qdrant, etc.\n * Experience with Transformers and using Hugging Face models such as LLaMA, Mixtral, and various embedding models.\n\n\n\n## \u2705 Good-to-Have Skills\n\n * Knowledge and hands-on experience with Kubernetes, Docker, and containerization/orchestration tools.\n * Cloud experience with Azure, including working with VMs and Azure Storage.\n\n\n\n## Why you will love this job:\n\n\u2022 You will be challenged to design and develop new software applications. \n\u2022 You will have the opportunity to work in a growing organization, with ever growing opportunities for personalgrowth.\n\nAmdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce\n