IN_Senior Associate_Generative AI_Emerging Business

4 - 8 years

6 - 10 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Not Applicable
Specialism
Emerging Technologies
Management Level
Senior Associate
& Summary
At PwC, our people in software and product innovation focus on developing cuttingedge 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 cuttingedge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence, blockchain, and the internet of things (IoT).
Responsibilities
Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or opensource models (e.g., LLaMA, Falcon). Finetune and customize foundation models using domainspecific datasets and techniques Develop and optimize prompt engineering strategies to drive accurate and contextaware model responses. Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain. Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP). 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 opensource tools.
Mandatory skill sets
Generative AI (LLMs, Transformers) Python, PyTorch, Hugging Face Transformers Azure/AWS/GCP cloud platforms LangChain 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 (RetrievalAugmented 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
Degrees/Field of Study required Bachelor Degree, MBA (Master of Business Administration)
Degrees/Field of Study preferred
Required Skills
Generative AI
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BWBPS), 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}
Travel Requirements
Available for Work Visa Sponsorship

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PwC Service Delivery Center

IT Services and IT Consulting

New York NY

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