Senior Associate

Line of ServiceAdvisory

Industry/SectorGPS X-Sector

SpecialismOperations

Management LevelSenior Associate

Job Description & SummaryA career in our Government and Public Sector Transformation Management practice, within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world’s largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage.

In joining, you’ll help federal, state and local government clients solve complex business issues and manage jurisdiction related risk. You’ll help our clients assess their operational and security and data management strategies so they can continue to operate more efficiently and effectively, both today and tomorrow.

Position Title: GenAI / NLP Engineer Grade/Level:

Business Unit: Advisory Sub BU: Responsible Development Services

Location: Any location Position Type: FTE

Expertise Keywords: GenAI, LLM, Large Language Models, NLP and ML. Frameworks like NLTK,

scikit-learn spaCy, Gensim, PyTorch, Keras, HuggingFace, Cloud platform based Natural Language API

services like GCP, AWS, MS Azure, Text mining, Machine Learning algorithms and models, Neural

networks, Transformer based models like BERT. Python, data processing libraries (Pandas, NumPy,

etc), data search and retrieval algorithms, large scale document processing, Strong knowledge in

Database / SQL, fundamentals of Data Science, probability, and statistics.

Preface

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms

in 157 countries with more than 300,000 people who are committed to delivering quality in Assurance,

Advisory and Tax services.

Within Advisory, PwC has a large team (Responsible Development Services) that focus on

transformation in Government through Digital inclusion. The open position is for a candidate who

desires to work with government clients and bring about a change in society. A successful candidate

will be expected to work pro-actively and effectively on multiple client engagements over the period of

time and take ownership of the entire project delivery he/she entrusted with.

Broad Role / Responsibilities

Broad role typically entails our resources to adopt problem solving approach to solve important client

problems and extend support in monitoring / managing large projects, involving following

responsibilities:

6+years of professional experience with Large Language Models (Llama2, Mistral, etc.)/GenAI

technology like OpenAI API, ChatGPT, GPT-4, Bard, Langchain, HuggingFace Transformers,

PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience

with vector database.

Deep familiarity across the stack – compute infrastructure, ML frameworks, orchestration

layers, large language models, frameworks like LangChain for developing applications powered

by GenAI models, and MLOPs.

Experience with GenAI models across training, inference, MLOPs, and/or developing GenAI

applications.

Experience with data engineering techniques and different platforms including vector DB &

knowledge graphs.

Experience training large models across compute types and developing applications powered by

GenAI models.

Experience with prompt engineering and the ability to craft effective prompts for various

applications.

Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer

models.

Data Handling and Pre-processing – Develop and implement data pre-processing pipelines to

clean and transform large volume of unstructured text data.

NLP Model Development and Evaluation – Design, Develop, and Fine-tune state-of-the-art

NLP models for tasks such as information extraction, text classification, machine translation,

chatbots, recommendation systems, pattern recognition, topic modelling, intent classification,

semantics-based similarity analysis, text generation, text summarization, etc.

Strong collaboration with software engineering and operations teams to ensure seamless

integration and deployment of AI models.

Excellent problem-solving and analytical skills, with the ability to translate business

requirements into technical solutions

@ PwC 2 Page

Strong communication and interpersonal skills, with the ability to collaborate effectively with

stakeholders at various levels.

Track record of driving innovation and staying updated with the latest AI research and

advancements

Continuous Learning and Model Optimization - Monitor and evaluate the performance of NLP

models in production based on performance metrics and new data.

Drive MLOps and LLMops practices, covering continuous integration, deployment, and

monitoring of AI.

Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.

Collaboration and Communication - Collaborate with cross-functional teams including

engineering, marketing, and product development. Communicate complex data findings in a

clear and actionable manner to non-technical stakeholders.

Keep abreast with emerging tools, techniques, and technologies in data science & machine

learning. Engage in self-improvement and continuous learning opportunities to maintain

expertise in the data science domain.

Nice to Have:

Good understanding of Generative AI Technologies like large language models, computer vision

or reinforcement learning.

Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models

and systems

Familiarity with DevOps and MLOps practices, including continuous integration, deployment,

and monitoring of AI models.

Specific Past Work Experience Requirements

2+ Years of relevant experience in Machine Learning and NLP projects.

3 to 6 years of Consulting/Development experience in Emerging Technology Domain.

Educational Qualifications

B.E./ B Tech/ MCA/ M.Tech/PhD

Certifications (added advantage)

Data Science

Data Analytics

Machine Learning

Cloud Platform Services

Personality traits (a must)

Strong communications skills, both written and verbal

Ability to handle complex assignment independently

Ability to work with ambiguity. Taking a systematic, structured view of situations.

Ability to interact with client (senior government officials)

Demonstrating willingness to ‘get hands dirty’ and developing a problem-solving attitude

Strong personal and professional presence and self-confidence, capable of working effectively with

senior team as well as all other levels.

@ PwC 3 Page

PwC Professional leadership development framework focuses on

five core attributes: Whole leadership, Business acumen, Technical

capabilities, Global acumen and Relationships.

We use this framework to recruit, develop and assess our people, at

all grades and all areas of our business, helping our people to meet

the expectations of our clients, colleagues and communities in

today’s changing global marketplace.

Mandatory Skill Set-GenAI, LLM, Large Language Models, NLP and ML. Frameworks like NLTK, scikit-learn spaCy, Gensim, PyTorch, Keras, HuggingFace, Cloud platform based Natural Language API services like GCP, AWS, MS Azure, Text mining, Machine Learning algorithms and models, Neural networks, Transformer based models like BERT. Python, data processing libraries (Pandas, NumPy, etc), data search and retrieval algorithms, large scale document processing, Strong knowledge in Database / SQL, fundamentals of Data Science, probability, and statistics.

Preferred Skill Set-GenAI, LLM, Large Language Models, NLP and ML. Frameworks like NLTK, scikit-learn spaCy, Gensim, PyTorch, Keras, HuggingFace, Cloud platform based Natural Language API services like GCP, AWS, MS Azure, Text mining, Machine Learning algorithms and models, Neural networks, Transformer based models like BERT. Python, data processing libraries (Pandas, NumPy, etc), data search and retrieval algorithms, large scale document processing, Strong knowledge in Database / SQL, fundamentals of Data Science, probability, and statistics.

Year of experience required-4+

Qualifications-BE/BTECH + Masters

Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required SkillsAI Systems, Data Science, Keras, Large Language Models (LLM), Machine Learning, Python (Programming Language), PyTorch, spaCY, Structured Query Language (SQL), Text Mining

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

530925WD