Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)
Skills
Algorithms
Artificial Intelligence
Collaboration
Generative Artificial Intelligence (AI)
Insurance
Knowledge Sharing
Machine Learning (ML)
Job Details
We are looking for Palantir Data Engineer for our client in New York City, NY / Atlanta, GA
Job Title: Palantir Data Engineer
Job Type: Contract
Job Description:
Pay Range: $65hr - $70hr
- At least 7 + years of experience, Strong in Gen AI, ML, Python, TypeScript. Palantir Foundry is an advantage.
- Design and implement AI/ML models tailored to specific business problems (preferably Insurance), including generative LLM models and traditional ML approaches.
- Select appropriate algorithms and architectures based on data characteristics, performance requirements, and use-case complexity.
- Conduct feature engineering, hyperparameter tuning, and model validation to optimize performance and generalizability.
- Strong proficiency in Python, TypeScript and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Evaluate model performance using statistical metrics and real-world testing, ensuring robustness and fairness.
- Collaborate with cross-functional teams (business, product managers) to integrate models into production environments.
- Monitor, maintain, and retrain models to ensure continued accuracy, relevance, and compliance with ethical standards.
- Document model development processes for reproducibility and knowledge sharing across teams.
- Stay current with advancements in ML algorithms, generative architectures (e.g., transformers, graph neural networks), and tooling (e.g., MLflow, Kubeflow, Hugging Face) and so on.
- An added advantage if worked on Palantir Foundry, AIP Functions.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.