IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job 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. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. * 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. " Responsibilities:     ML Pipeline Design:  Design ML 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 and GPU Architecture:  Possess deep knowledge of GPU   architectures.   Expertise   in distributed training and   serving of   large language models.   Proficient in model and data parallel training using frameworks like   DeepSpeed   and service frameworks like   vLLM.   Model Fine-Tuning and Optimization:  Demonstrate proven   expertise   in model fine-tuning and optimization techniques.   Achieve better latencies and   accuracies   in model results.   Reduce training and resource requirements for fine-tuning LLM and LVM models.   DevOps and   LLMOps   Proficiency:  Proven   expertise   in DevOps and   LLMOps   practices.   Knowledgeable in Kubernetes, Docker, and container orchestration.   Deep understanding of LLM orchestration frameworks like   Flowise ,   Langflow , and   Langgraph.

Matrix  LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude,   Mixtral, Llama   LLM Ops: ML Flow,   Langchain ,   Langraph ,   LangFlow ,   Flowise ,   LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI   Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL,   PostGreSQL , Aurora, Spanner, Google   BigQuery.   Cloud Knowledge: AWS/Azure/GCP   Dev Ops (Knowledge): Kubernetes, Docker,   FluentD, Kibana, Grafana, Prometheus   Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert   Proficient in Python, SQL,   Javascript     Mandatory skill sets:   Gen   AI,LLM ,   Huggingface ,   python,pytorch /tensor   flow/ keras ,   Langchain ,   Langgraph ,   Docker ,   Kunernetes  Preferred skill sets:   SQL,machine   learning,   data science   Years of experience   required : 3 +   Education qualification:   BE/ B.Tech /MBA