Palantir Sr Data Engineer

- 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.

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Required Skills & Experience
- At least 7 + years of professional experience
- At least 3+ years of hands-on experience with Palantir
- Strong in Gen AI/ML
- Python
- TypeScript


Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.