Data Science (Generative AI) – Senior Manager – ANI

Key Skills

Aartificial intelligence, Apache Airflow, AWS, Azure, Data science techniques, Effective communication skills, Google Cloud Platform (GCP), H2O, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Natural Language Understanding-NLU, PowerBI, Presentation skills, PySpark, Python Programming, SQL, Tableau, TensorFlow

Job Description

• 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 machine
  • learning algorithms. For e.g: classifiers, cluster analysis, dimension reduction, regression, and
  • models 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 AI
  • Fine-tune language models to specific domains using LLM to improve the accuracy and
  • effectiveness of text-based applications
  • Build generative AI models that can generate original content, such as text, images, or music
  • Experience with model explainability and interpretability techniques
  • Experience 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 teams
  • Lead and manage a team of data scientists and engineers working on generative AI projects
  • Identify 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 modeling
  • lifecycle
  • Develop and implement ethical guidelines and standards for AI development and deployment
  • Stay up to date with the latest research and trends in the field of generative AI and apply them to the
  • company's projects and goals
  • Communicate effectively with stakeholders at all levels of the organization to explain the benefits and risks
  • of generative AI solutions

  Nice 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 the

  Product

  • Ability to think through complex user scenarios and design simple yet effective user interactions
  • Good Communication and presentation skills

  Education(if blank, degree and/or field of study not specified)

  Degrees/Field of Study required:

  Degrees/Field of Study preferred: