About the role
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.*Why PWCAt 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.
ProvenexpertisewithMLflow, SageMaker, Vertex AI, and Azure AI.
LLM Serving and GPU Architecture:
Possess deep knowledge of GPUarchitectures.
Expertisein distributed training andserving oflarge language models.
Proficient in model and data parallel training using frameworks likeDeepSpeedand service frameworks likevLLM.
Model Fine-Tuning and Optimization:
Demonstrate provenexpertisein model fine-tuning and optimization techniques.
Achieve better latencies andaccuraciesin model results.
Reduce training and resource requirements for fine-tuning LLM and LVM models.
DevOps andLLMOpsProficiency:
Provenexpertisein DevOps andLLMOpspractices.
Knowledgeable in Kubernetes, Docker, and container orchestration.
Deep understanding of LLM orchestration frameworks likeFlowise,Langflow, andLanggraph.
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, GoogleBigQuery.
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:
GenAI,LLM,Huggingface,python,pytorch/tensorflow/keras,Langchain,Langgraph,Docker,Kunernetes
Preferred skill sets:
SQL,machinelearning,data science
Years of experiencerequired:
3+
Education qualification:
BE/B.Tech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Generative AIOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, 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 {+ 41 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
September 17, 2026