AI Engineer Ml Ops-Palantir Foundry-Senior Associate
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Job Location:
Monthly Salary:
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
Industry/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.
PwC US - Acceleration Center is seeking aPalantirAIEngineerat theSenior Associate this role youwillplay a critical rolein buildingand deployingcutting-edgeAI / Machine Leaning /Generative AIapplicationsusing Palantir Foundry.The ideal candidateshould havestrongbackgroundinAI / MachineLearning /Generative AImethodologiesdesigning analytical workflows/ applicationdevelopingand deployingAI solutionsthat scale across Foundrys ontology and operational applications.You will design scalable ML pipelines engineer high-quality features integrate models into Foundrys operational workflows and partner directly with clients to solve mission-critical problems using data-driven insights.
Responsibilities:
Advanced Analytics & Modeling:
Design and develop machine learning models (forecasting classification optimization NLP clustering etc.) using Python Spark and Foundry-native capabilities.
Perform exploratory data analysis to understand client datasets assess quality andidentifyactionable insights.
Create reusable feature engineering pipelines and analytical modules within Foundrys dataset and transformation framework.
Evaluate model performance interpret results and communicate implications to diverse stakeholders.
Machine Learning & AIEngineering:
Design train andoptimizemachine learning models using Python Spark and Foundry-native capabilities.
Build scalable feature engineering pipelines in Foundry using transforms workflows and ontology-backed data sources.
Implement model evaluation monitoring drift detection and automated retraining workflows.
Ensure ML solutions adhere to PwC and client standards for reproducibility governance and maintainability.
End-to-End ML Pipeline Development:
Build ingestion and transformation pipelines supporting ML workloads using Foundry (Code Workbooks Transform Repositories Contour/Monocle).
Develop automated ML workflows connecting data prep training inference and deployment.
Operationalize ML models within Foundry to support real-time or batch decision-making.
Apply CI/CD andMLOpsbest practices for deploying andmaintainingproduction models.
AIP&Foundry Workflow Development:
Build end-to-end analytical workflows in Palantir Foundry integrating data ingestion transformations modeling and operational decision-support tools.
Leverage Foundry components (Code Workbooks Transforms Ontology Operational Apps) to design scalable data products.
SupportMLOpsprocesses including model deployment monitoring versioning and automated retraining.
Knowledge and understanding ofPalantirsArtificial Intelligence Platform (AIP)whichconnects AI with data and operations.
Foundry DataIntegrationConnectivity Builds:
Understanding ofdata connectivity and integration tools that extend far beyond typical extract-transform-load (ETL) or extract-load-transform (ELT) solutions
Leverage Foundrys data transformation pipeline managementcapabilitiesto build AI ready datasets.
Work on anintegrated suite of data transformation authoring change management data quality pipeline scheduling and metadata introspection capabilities that work cohesively to provideanmission control for data engineers.
Client Engagement & Delivery
Develop client-ready documentation dashboards training materials and workshops to support adoption.
Participate in agile project delivery sprint planning and iterative solution refinement
Requirements:
Bachelors ormastersdegree in computer science Data Science ora relatedfield.
5 years of relevant technical/technology experience with significantexpertiseinAI /GenAI projectswith production deployment experience.
Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark.
Hands-on experience using Palantir Foundry including transforms datasets ontology and operational applications.
Experience deliveringproductionML and/or LLM-based solutions.
Proficiencyin Typescript.
Experience deploying ML models or analytical workflows inside Foundry (training pipelines inference workflows).
Familiarity with DevOps/MLOpstools (Git CI/CD).
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Electrical Engineering
- GIS
- Raspberry Pi
- System Design
- C/C++
- CAD
- Matlab
- Mechanical Engineering
- Autocad
- Microsoft Project
- Catia
About Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more
