SAP AI Business Services Consultant
Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listed on 2026-02-28
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
Job Description & How to Apply Below
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 & AvailabilityUnited 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).
- 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.
For applications and inquiries, contact:
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