About the job
Job Description & Summary: 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 purpose-led and values-driven 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 programs 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. Key Responsibilities: · Design and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models. · Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance. · Build and deploy AI pipelines for text, image, audio, and video generation. · Integrate AI models into existing systems using APIs (OpenAI, Anthropic, Hugging Face, etc.). · Conduct experiments, perform model evaluation, and improve performance using RLHF, embeddings, and retrieval-augmented generation (RAG). · Stay updated on emerging trends in AI research, model architectures, and generative technologies. · Ensure compliance with ethical AI practices, data privacy, and model governance policies.
Requirements
- Python
- PyTorch
- TensorFlow
- Generative AI
Qualifications
- Bachelor of Engineering
- Master of Business Administration
Preferred Technologies
- Python
- PyTorch
- TensorFlow
- Generative AI
About the company
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 decision-making and driving business growth.
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