IN_Manager_ Expert AI ML_ Citizen Services_ Advisory_ Gurugram
IN_Manager_ Expert AI ML_ Citizen Services_ Advisory_ Gurugram
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Job Description
Line of Service
AdvisoryIndustry/Sector
GPS X-SectorSpecialism
OperationsManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.
Why PWC
At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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 firms 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. Were a network of firms in 157 countries with more than 300000 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:
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:
Masters or bachelors degree in computer science Artificial Intelligence Data Science Mathematics Statistics or a related technical field. A Ph.D. is a plus.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master Degree Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
