Description
& Summary: At PwC, our purpose is to build trust in society and solve important problems.Responsibilities:
1.
Lead the design, development and deployment of advanced AI/ML models, particularly in the domains of NLP and Generative AI
2.
Architect and implement end-to-end solutions leveraging large language models (LLMs), transformers and deep learning architectures
3.
Develop customized NLP pipelines for tasks such as text classification, summarization, entity recognition, semantic search and conversational AI
4.
Drive innovation in generative AI use cases such as prompt engineering, text generation, RAG, multimodal AI and fine-tuning LLMs
5.
Collaborate with product managers, data engineers and domain experts to translate business requirements into intelligent solutions
6.
Mentor AI/ML teams and provide technical leadership on best practices, frameworks and emerging technologies
7.
Ensure responsible AI practices including bias mitigation, model explainability and governance
8.
Publish technical papers, contribute to open-source projects and represent the organization in AI forums and communities
9.
Evaluate and integrate new AI tools, APIs and models into production-grade systems
Mandatory skill sets:
· 8+ years of experience in AI/ML, with deep expertise in NLP, Generative AI and applied Data Science · Hands-on experience with LLMs (e.g., GPT, BERT, LLaMA, T5), transformer architectures and prompt engineering · Strong coding and modeling experience using Python and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) · Experience with NLP tasks like question answering, summarization, text generation, sentiment analysis, topic modeling · Proven ability to fine-tune and deploy LLMs on domain-specific tasks and datasets · Familiarity with vector databases (e.g., FAISS, Pinecone), embeddings and retrieval-augmented generation (RAG)
· Strong foundation in statistics, probability and machine learning algorithms · Proficiency with ML lifecycle tools (e.g., MLflow, DVC), containerization (Docker) and model deployment on cloud platforms (AWS, GCP, Azure) · Excellent communication and leadership skills to influence stakeholders and guide teams
Preferred skill sets:
· Experience with reinforcement learning (RLHF), diffusion models or multimodal learning · Knowledge of MLOps tools and workflow orchestration (e.g., Airflow, Kubeflow) · Familiarity with ethical AI practices, model interpretability (e.g., SHAP, LIME) and AI compliance frameworks · Experience with speech-to-text, OCR or cross-lingual NLP · Contributions to research papers, patents or open-source AI/ML libraries · Certification in AI/ML from recognized platforms or institutions (e.g., Stanford, Coursera, AWS, GCP)
Years of experience required:
8+ years
Education qualification:
Master’s or bachelor's degree in computer science, Artificial Intelligence, Data Science, Mathematics, Statistics or a related technical field.
A Ph.D. is a plus.
Education
Degrees/Field of Study required: Master Degree, Bachelor DegreeDegrees/Field of Study preferred:Certifications
Required Skills
AI Programming, Standard ML (Programming Language)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}Desired Languages
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date