Overview
Skills
Job Details
Looking for Technical Lead, Palantir Foundry
Client: Credera
Job Description -
Technical Lead, Palantir Foundry
REMOTE ROLE for Contractor anywhere in N. America **
DIRECT CLIENT - Credera
Work Model: Remote | Central / East Coast Hours
Active LinkedIn Required
Length: 12+ months
Description:
Technical Lead work closely with Subject Matter Experts (SMEs) to design the ontology (data model), develop data pipelines, and integrate data solutions with external systems containing the data.
Key Responsibilities Include:
Evaluate and inform Product Owner and other stakeholders on predictive AI capabilities in general and Palantir Foundry in specific as they relate to desired end state
Collaborate across teams and business areas for seamless coordination
Helps identify opportunities within Palantir Foundry and work with Product Owner and Digital Technology leadership to address issues or changes
Identify risks, bottlenecks, and areas for improvement, driving continuous enhancements
Collaborate with Product Owner on requirement modifications where appropriate to define new requirements and assist developers as needed
Take full ownership of the projects, ensuring timely delivery and high-quality outcomes
Ensure code quality, performance, scalability, and security of applications
Other ad-hoc requests
Requirements:
Bachelor's degree, Master's Degree preferred
Hands-on project experience with Palantir Foundry, including data integration, data modeling, and application development
Strong Python experience with expertise in using Pandas, NumPy, and PySpark
Expertise in machine learning and predictive analytics, with hands-on experience in developing and deploying ML models
Confident to review/approve pull requests and provide guidance for developers on the Predictive AI team
Able to take initiative to tackle challenges and drive solutions instead of waiting for direction
Available to support the team when needed, providing guidance, troubleshooting assistance, and technical expertise to unblock progress
Open to learning new tools, frameworks, and methodologies to enhance team efficiency and product quality
Able to adapt quickly to changing business needs, changing priorities, technical challenges, and evolving project requirements
Background in data science preferred
Plus Skills: Generative AI on AWS = Amazon Bedrock, Amazon SageMaker, Amazon EC2, Amazon EC2 UltraCluster, AWS Trainium, or AWS Inferentia