Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
SpecialistJob 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.Job Description & Summary: A Career within............
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:
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/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
Adobe AnalyticsOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Daily Scrum, Data Analytics, Data Architecture Development, Data-Driven Insights, Data Ingestion, Data Reporting, Data Transformation {+ 29 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
June 23, 2026