Lumiere Systems

Palantir Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Palantir Senior Data Engineer" with a contract length of "unknown," offering a pay rate of "unknown." Requires 7+ years of experience, strong skills in Gen AI, ML, Python, and TypeScript, with a preference for insurance industry experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 27, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Libraries #TypeScript #Data Integration #AI (Artificial Intelligence) #Palantir Foundry #Data Processing #Neural Networks #Spark (Apache Spark) #Programming #PyTorch #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Data Science #MLflow #Data Management #Transformers #Model Validation #TensorFlow #Compliance #PySpark #Hugging Face #Data Engineering #Python
Role description
Skill List - EdgeX Foundry, IT infrastructure, IT networking, Palantir Foundry, PySpark, Python, data integration, data management, data processing, edge computing, information technology, programming, programming languages, python data science, software development JD - 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.