IN-Senior Associate_ Lead - AI/ML_ Citizen Services_ Advisory_ Hyderabad

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

*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: 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 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.

Responsibilities:

· Lead the design and implementation of AI/ML models, particularly in the areas of Generative AI and advanced data analytics · Develop and fine-tune large language models (LLMs) and transformer-based architectures for specific use cases · Collaborate with data engineers, product owners and business stakeholders to translate requirements into intelligent solutions · Deploy ML models in production using MLOps practices, ensuring scalability and performance · Drive experimentation with cutting-edge Gen AI techniques (e.g., text generation, summarization, image synthesis) · Conduct data exploration, feature engineering and statistical modeling to support various business needs · Mentor junior team members and guide them in model development and evaluation best practices · Stay up to date with the latest research and industry trends in AI, ML and Gen AI · Document methodologies, models and workflows for knowledge sharing and reuse

Mandatory skill

sets: · 4+ years of experience in AI/ML and data science, with proven experience in Generative AI · Hands-on expertise with Python and relevant ML/AI libraries (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn) · Strong understanding of LLMs (e.g., GPT, BERT, T5), transformers and prompt engineering · Experience with NLP techniques such as text classification, summarization, entity recognition and conversational AI · Ability to build and evaluate supervised and unsupervised learning models · Proficient in data wrangling, exploratory data analysis and statistical techniques · Familiarity with model deployment tools and platforms (Docker, FastAPI, MLflow, AWS/GCP/Azure ML services) · Excellent problem-solving, analytical thinking and communication skills

Preferred skill sets: · Experience fine-tuning open-source LLMs using domain-specific data · Exposure to reinforcement learning (RLHF), diffusion models or multimodal AI

· Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) architectures · Experience with ML pipelines and automation (CI/CD for ML, Kubeflow, Airflow) · Background in conversational AI, chatbots or virtual assistants · Knowledge of data privacy, ethical AI and explainable AI principles · Publications, Kaggle participation or open-source contributions in the AI/ML space

Years of experience

required: · 4+ years

Education

qualification: · Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics or a related field

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date