What are the responsibilities and job description for the Palantir Data Engineer - NYC,NY and Atlanta, GA (Onsite) position at Caliber Smart?
Role Name: Palantir Data Engineer
Location: NYC,NY and Atlanta, GA (Onsite)
Duration: 6-12 Months
Job Description
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, hyper parameter 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.
Best Regards,
Chetna
Chetna@smartcaliber.com
www.smartcaliber.com
Truth Lies in Heart
Location: NYC,NY and Atlanta, GA (Onsite)
Duration: 6-12 Months
Job Description
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, hyper parameter 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.
Best Regards,
Chetna
Chetna@smartcaliber.com
www.smartcaliber.com
Truth Lies in Heart
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