Line of Service Advisory Industry Sector Not Applicable Specialism Emerging Technologies Management Level Senior Associate Summary At PwC our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients These individuals combine technical experience with creative thinking to deliver innovative software products and solutions In emerging technology at PwC you will focus on exploring and implementing cutting-edge technologies to drive innovation and transformation for clients You will work in areas such as artificial intelligence blockchain and the internet of things IoT Why PWC 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 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 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 pregnancy 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 We are seeking a highly skilled and creative GenAI Engineer to join our dynamic team The ideal candidate will be responsible for designing developing and deploying scalable Generative AI solutions using state-of-the-art large language models LLMs and transformer architectures This includes building intelligent applications orchestrating model workflows and integrating GenAI capabilities into enterprise systems This role demands deep expertise in Python PyTorch and Hugging Face Transformers along with hands-on experience in deploying solutions on Azure AWS or GCP The candidate should be proficient in using orchestration frameworks like LangChain developing APIs with FastAPI or Flask and managing ML pipelines using tools such as MLflow or Weights Biases Familiarity with CI CD practices for ML including platforms like Azure ML or SageMaker Pipelines is essential Responsibilities Design build and deploy generative AI solutions using LLMs such as OpenAI Anthropic Mistral or open-source models e g LLaMA Falcon Fine-tune and customize foundation models using domain-specific datasets and techniques Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses Implement model pipelines using Python and ML frameworks such as PyTorch Hugging Face Transformers or LangChain Agentic AI implementation expertise using Crew ai or Lang chain Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms Azure AWS GCP Knowledge on Azure GCP AWS AI platform like Azure AI Foundry or GCP Vertex Ensure robustness scalability and compliance of AI models in deployment environments Good to have experience in finetuning models Good to have experience in SLM Integrate GenAI into enterprise applications via APIs or custom interfaces Evaluate model performance using quantitative and qualitative metrics and improve outputs through iterative experimentation Keep up to date with the latest research in GenAI foundation models and relevant open-source tools Mandatory skill sets Generative AI LLMs Transformers Python PyTorch Hugging Face Transformers Azure AWS GCP cloud platforms LangChain Langgraph or similar orchestration frameworks REST APIs FastAPI Flask ML pipeline tools MLflow Weights Biases Git CI CD for ML e g Azure ML SageMaker pipelines Preferred skill sets RAG Retrieval-Augmented Generation Vector DBs FAISS Pinecone Weaviate Streamlit Gradio for prototyping Docker Kubernetes for model deployment Data preprocessing feature engineering NLP libraries spaCy NLTK Transformers Years of experience required 4 to 8 years Education qualification B E B tech M tech MCA Education if blank degree and or field of study not specified Degrees Field of Study required Bachelor of Technology Master of Engineering Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Generative AI Microsoft Azure Python Programming Language Optional Skills Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Artificial Intelligence Business Planning and Simulation BW-BPS Communication Competitive Advantage Conducting Research Creativity Digital Transformation Embracing Change Emotional Regulation Empathy Implementing Technology Inclusion Innovation Processes Intellectual Curiosity Internet of Things IoT Learning Agility Optimism Product Development Product Testing Prototyping Quality Assurance Process Management 10 more Desired Languages If blank desired languages not specified Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date

📌 In Senior Associate Generative Ai Engineer Emerging Technologies Noida
🏢 PwC
📍 Noida