Python Gen AI Developer

Contract Must be able to work on W2 payroll NTT DATA's Client is seeking a Python Gen AI Developer to design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX. This includes working with architecture like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs) Research and implement machine learning algorithms and tools Integrate generative AI models into production systems and applications, often involving APIs, microservices, and cloud platforms (AWS, Azure, GCP). Manage and direct research and development processes to meet the needs of our AI strategy Develop machine learning applications in alignment with project

and business goals Perform machine learning tests and statistical analysis to fine-tune the machine learning systems Select appropriate datasets and data representation methods Extend existing machine learning libraries and frameworks Train systems and retrain as necessary Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions

: Overall 5+ years of experience. 3+ Years of strong Python coding skills and python libraries (like NumPy, Pandas etc.) 2+ Years of solid understanding of generative AI models (GANs, VAEs, LLMs) and their underlying principles Experience on any of the Python web development frameworks (FastAPI, Flask, Django) Strong experience in using Neo4J, Mongo DB Experience in working as part of scrum team with knowledge of related ceremonies. Strong communication skills. Understanding and experience on Gen AI implementations Experience on Langchain, Vector DB, Embeddings or related frameworks Experience on AI/ML model implementations using scikit learn, Tensor flow etc., Experience with Chat, IVR, Banking will be plus Google Cloud (GCP) knowledge NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [50$ -57 $hourly range]. Actual compensation will depend on a number of factors, including the candidate's relevant experience,