Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement 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.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.
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. . Skill 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: . 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. . . Skill 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
Preferred skill sets:
Gen AI
Years of experiencerequired:
8-16 years
Education qualification:
B.Tech/MCA/BCA/M.tech
Education
Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications
Required Skills
Generative AIOptional 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 moreDesired Languages
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
September 18, 2026More Info
About Company
Are you ready to make a difference Want to unlock new value by applying your unique perspective and talents You can grow exponentially at PwC. Here, you canuncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We'llhelp you grow your skillsthrough challenging, meaningful work so you can go further.