Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients
They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decisionmaking and automation
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities
This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other Learn more about us
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregcy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law
We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations
& Summary A career within
Responsibilities
610 years of experience in AI/ML model development with at least 13 years working specifically in Generative AI or Agentic AI
Handson experience with LLMs such as GPT, Llama, Claude, Gemini, Mistral, or similar opensource and enterprisegrade models Proficiency with ML frameworks and libraries such as PyTorch, TensorFlow, LangChain, RAG frameworks, OpenAI API, Hugging Face, or LlamaIndex Experience with cloud platforms such as Azure AI Studio, AWS Bedrock, GCP Vertex AI, or Databricks GenAI environment Strong understanding of NLP, reinforcement learning, multimodal pipelines, vector databases, and prompt engineering techniques Familiarity with MLOps, LLMOps, deployment pipelines, security controls, and monitoring of AI systems in production Certifications in AI/ML, cloud AI platforms, or Responsible AI frameworks are an advantage Excellent communication, analytical thinking, problemsolving skills, and ability to work in collaborative environments
Mandatory skill sets
Gen AI
Preferred skill sets
Gen AI
Years of experience required
510
Education qualification
Btech/MBA/MCA
Education
Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration
Degrees/Field of Study preferred
Required Skills
Generative AI
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}
No