Data Science (Generative AI) – Senior Manager – ANI

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements. Years of Experience: 12 + Years Must have : Experience in developing machine learning and deep Learning models in local and cloud environments (At least 1 of the 3: Azure , GCP, AWS ) Must Have below skills: Solid knowledge and experience of supervised, unsupervised and reinforcement learning machinelearning algorithms. For e.g: classifiers, cluster analysis, dimension reduction, regression, andmodels CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU,word/doc embeddings, collaborative filtering, self-attention, transformers, etc.Experience with the current state of AI/ML, Large Language Models, and Generative AIFine-tune language models to specific domains using LLM to improve the accuracy andeffectiveness of text-based applicationsBuild generative AI models that can generate original content, such as text, images, or musicExperience with model explainability and interpretability techniquesExperience in machine learning frameworks and tools ( For e.g: scikit-learn, mlr, caret, H2O, TensorFlow,MXNet, Pytorch, Caffe/Caffe2, CNTK, MLlib)Advanced level programming in SQL and Python/Pyspark to guide teamsLead and manage a team of data scientists and engineers working on generative AI projectsIdentify and evaluate new AI technologies and tools that could be leveraged for generative AI projects.Understand the nuances between traditional Machine Learning lifecycle and Generative AI modelinglifecycleDevelop and implement ethical guidelines and standards for AI development and deploymentStay up to date with the latest research and trends in the field of generative AI and apply them to thecompany's projects and goalsCommunicate effectively with stakeholders at all levels of the organization to explain the benefits and risksof generative AI solutionsNice to have: Strong hands-on skills for data pipeline orchestration (For e.g: Airflow)Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc.Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into theProduct Ability to think through complex user scenarios and design simple yet effective user interactionsGood Communication and presentation skillsEducation(if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: