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SAP AI Business Services Consultant

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Data Freelance Hub
Contract, Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 65 - 70 USD Hourly USD 65.00 70.00 HOUR
Job Description & How to Apply Below
Location: New York

Position Overview

This role is for an SAP AI Business Services Consultant on a contract basis, paying $65-$70/hr requires 7+ years of experience in Gen AI, ML, Python, Type Script, and familiarity with Palantir Foundry, preferably in the insurance industry. Remote work available.

Location & Availability

United States – Remote

Key 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.
  • 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).
Qualifications
  • At least 7+ years of experience in Gen AI, ML, Python, and Type Script.
  • Strong proficiency in Python, Type Script, and ML libraries (e.g., Tensor Flow, PyTorch, scikit‑learn).
  • Experience with Palantir Foundry and/or AIP Functions is an added advantage.
  • Demonstrated ability to evaluate model performance using statistical metrics and real‑world testing.
  • Knowledge of data engineering concepts and ETL processes.
How to Apply

For applications and inquiries, contact:

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