Line of Service
AdvisoryIndustry/Sector
GPS X-SectorSpecialism
OperationsManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.*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:
Design, develop and optimize AI/ML models, including GenAI models, transformers, LLMs, NLP models and computer vision applications.
Implement training, fine-tuning and deployment of AI/ML models in cloud and on-premises environments.
Develop and maintain CI/CD pipelines, model monitoring and automated workflows for AI applications.
Work on AI-driven solutions for government and public sector applications such as document intelligence, conversational AI, fraud detection and AI-based decision-making.
Explore new AI trends, LLMs and Generative AI frameworks for innovation and enhancement of AI capabilities.
Handle large-scale data pipelines, feature engineering and data processing for AI model training.
Work with cross-functional teams, mentor junior AI engineers and contribute to best practices in AI development.
Mandatory skill sets:
Strong programming skills in Python, TensorFlow, PyTorch or JAX.
Experience in training, fine-tuning and deploying transformer-based models (BERT, GPT, LLaMA, Stable Diffusion, DALL·E, etc.).
Proficiency in MLOps, model versioning and deployment using tools like MLflow, Kubeflow or Vertex AI.
Experience in computer vision (OpenCV, YOLO, Detectron) or NLP (Hugging Face, spaCy, NLTK, T5/BERT models).
Expertise in cloud-based AI (AWS Sagemaker, Azure AI, GCP Vertex AI) and containerization with Docker/Kubernetes.
Knowledge of vector databases (FAISS, Pinecone, Weaviate) and embeddings for GenAI applications.
Understanding of LLM fine-tuning, retrieval-augmented generation (RAG) and multi-modal AI solutions.
Preferred skill sets:
Experience in deploying Generative AI models for content generation, document automation or conversational AI.
Familiarity with multi-agent AI systems, reinforcement learning (RLHF) and AI alignment techniques.
Knowledge of federated learning, edge AI and secure AI model deployment.
Understanding of e-Governance AI applications such as AI-powered public service automation, policy compliance AI and regulatory AI solutions.
Strong problem-solving, analytical and communication skills.
Years of Experience:
6 to 10 years of experience in AI/ML development, GenAI model implementation and end-to-end AI solutions.
Hands-on experience with training, fine-tuning and deploying AI/ML models in real-world applications.
Strong background in either Data Science, NLP, Computer Vision (CV), Generative AI or MLOps.
Experience in deploying large-scale AI/ML models in cloud environments (AWS, Azure, GCP).
Experience in working with large datasets, model optimization and scalable AI pipelines.
Education qualification:
Bachelor’s degree in Computer Science, Engineering, AI/ML, Data Science or a related field.
Master’s degree (M.Tech/M.Sc) in AI, Data Science, Machine Learning or related fields is preferred.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Genetic EngineeringOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date