IN_Senior Manager_AI Architect_GCC_ Advisory_ Pune

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. 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: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Design RAG/LLM pipelines for experiment management, model management, feature management, and model retraining.   Design APIs for model inferencing at scale.   Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.   LLM Serving & GPU Architecture: Deep knowledge of GPU architectures, distributed training, and serving of large language models.   Model Fine-Tuning & Optimization: Improve latencies, accuracies, and reduce resource requirements for fine-tuning LLM/LVM models.    DevOps & LLMOps Proficiency: Expertise in Kubernetes, Docker, Container Orchestration , and LLM orchestration frameworks (Flowise, Langflow, Langgraph).     Mandatory skill sets:   Gen AI, LLM, Hugging Face   Python, PyTorch/TensorFlow/Keras    Langchain, Langgraph   Docker, Kubernetes   Preferred skill sets:    Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, BigQuery   Cloud Knowledge: AWS, Azure, GCP   DevOps Tools: FluentD, Kibana, Grafana, Prometheus   Proficient in Python, SQL, JavaScript     Years of experience required:   11-15   Education Details   B.Tech / M.Tech / MBA / MCA   Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills