Palantir Senior Data Engineer

Lumiere Systems • Atlanta, GA

19h

About The Position

We are seeking a Senior Data Engineer with at least 7 years of experience, strong skills in Generative AI, Machine Learning, Python, and TypeScript. Experience with Palantir Foundry is a significant advantage. This role involves designing, implementing, and deploying AI/ML models, including generative LLM models and traditional ML approaches, tailored to specific business problems, with a preference for the Insurance domain. You will be responsible for selecting appropriate algorithms, conducting feature engineering, hyperparameter tuning, model validation, and ensuring model performance, robustness, and fairness. Collaboration with cross-functional teams for production integration, as well as monitoring, maintaining, and retraining models, are key aspects of this position. Documentation and staying current with advancements in ML algorithms and tooling are also essential.

Requirements

• At least 7 years of experience
• Strong in Gen AI
• Strong in ML
• Strong in Python
• Strong in TypeScript
• Strong proficiency in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Nice To Haves

• Palantir Foundry experience
• AIP Functions experience

Responsibilities

• 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.
• 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).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed