> DOU
middle
AZinec5k–6k USDAI Engineer
company:Product
pythonpalantir foundryscikit-learnpytorchtensorflowsqlawsazuregoogle cloud
llmmlops
> full description
We are looking for an AI/ML Engineer with hands-on experience working in the Palantir ecosystem (Foundry and/or Gotham). You will design, build, and deploy scalable machine learning solutions and data-driven applications that solve complex business problems. You will work closely with product, engineering, and data teams to operationalize AI/ML models in production environments using Palantir’s platform.
Key Responsibilities
- Design, develop, and deploy machine learning models using Python and modern ML frameworks
- Build end-to-end data pipelines and workflows using Palantir Foundry/Gotham
- Translate business requirements into scalable AI/ML solutions
- Develop and maintain production-grade ML systems, including monitoring and performance optimization
- Work with large, complex datasets and ensure data quality and governance standards
- Collaborate with stakeholders to define use cases and deliver actionable insights
- Integrate ML models into operational systems and applications via Palantir tooling
- Support data modeling, ontology design, and semantic layer development in Foundry
- Optimize existing pipelines for performance, scalability, and cost efficiency
- Document architectures, workflows, and model lifecycle processes
Required Skills & Experience
- 3+ years of experience in AI/ML engineering, data science, or related roles
- Strong hands-on experience with Palantir Foundry and/or Gotham
- Proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
- Experience building and deploying production ML systems
- Strong understanding of data engineering concepts (ETL/ELT, data pipelines, distributed systems)
- Experience working with large-scale structured and unstructured data
- Knowledge of SQL and data modeling principles
- Experience with API development and integration of ML models into applications
- Familiarity with cloud environments (AWS, Azure, or GCP)
- Strong problem-solving and analytical thinking skills
Preferred Qualifications
- Experience with Ontology modeling in Palantir Foundry
- Experience with AIP (Artificial Intelligence Platform) or LLM integration in Foundry
- Familiarity with MLOps tools and practices (CI/CD for ML, model monitoring, etc.)
- Experience in enterprise or government-scale data environments
- Background in mathematics, statistics, computer science, or engineering
Soft Skills
- Strong communication skills with both technical and non-technical stakeholders
- Ability to work in cross-functional teams
- Ownership mindset and ability to drive projects independently
- Comfortable working in fast-paced, ambiguous environments