IN_Senior Associate_Generative AI_Emerging Technologies_Advisory_Gurugram/Bangalore

10 Minutes ago • 4-8 Years • Research Development

Job Summary

Job Description

At PwC, this role focuses on developing and deploying scalable Generative AI solutions using state-of-the-art large language models (LLMs) and transformer architectures. The engineer will design, build, and deploy GenAI solutions, fine-tune foundation models, optimize prompt engineering, and implement model pipelines using Python, PyTorch, and Hugging Face Transformers. Collaboration with data engineers and MLOps teams is crucial for productionizing models on cloud platforms like Azure, AWS, or GCP, ensuring robustness and scalability. The role also involves integrating GenAI into enterprise applications and evaluating model performance.
Must have:
  • Design, build, and deploy generative AI solutions using LLMs.
  • 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 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.
  • Proficiency in Python, PyTorch, Hugging Face Transformers.
  • Experience with Azure/AWS/GCP cloud platforms.
  • Familiarity with LangChain/Langgraph or similar orchestration frameworks.
  • Experience with REST APIs, FastAPI, Flask.
  • Knowledge of ML pipeline tools (MLflow, Weights & Biases).
  • Proficiency in Git, CI/CD for ML (e.g., Azure ML, SageMaker pipelines).
Good to have:
  • Experience in finetuning models.
  • Experience in SLM.
  • Knowledge of RAG (Retrieval-Augmented Generation).
  • Experience with Vector DBs (FAISS, Pinecone, Weaviate).
  • Familiarity with Streamlit/Gradio for prototyping.
  • Knowledge of Docker, Kubernetes for model deployment.
  • Skills in Data preprocessing & feature engineering.
  • Familiarity with NLP libraries: spaCy, NLTK, Transformers.
Perks:
  • Reward contributions
  • Support wellbeing
  • Inclusive benefits
  • Flexibility programmes
  • Mentorship

Job Details

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Senior Associate

Job Description & 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 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, 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.

Job Description & Summary: We are seeking a highly skilled and innovative 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, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

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

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

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About The Company

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.


Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

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