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# Applied AI Researcher

- **Company:** United Software Group, Inc.
- **Location:** Jersey City, NJ, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computational Linguistics, Fuzz Testing, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Open Source Technology, Tensorflow, Search Technologies, Pytorch, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Model Validation, Generative AI, Scikit Learn, Information Technology, Low Latency, HuggingFace, Machine Learning Operations, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.careerjet.com/jobad/us636b90923187ab9c8084bb91b67fa08e

## About the Role

* MS or PhD preferred in AI, ML, computer science, statistics, computational linguistics, mathematics, or a related field
 * Strong foundation in machine learning, deep learning, NLP, transformers, information retrieval, and generative AI
 * Hands-on experience with LLMs, embeddings, RAG, model evaluation, and applied GenAI experimentation
 * Python with PyTorch, TensorFlow, Hugging Face, scikit-learn, or equivalent
 * Ability to design rigorous experiments and explain findings to technical, product, business, risk, and governance stakeholders
 * Ability to turn research results into production requirements for an AWS-hosted enterprise platform

Preferred

 * Applied science or research experience in banking, finance, compliance, risk, legal, or financial crime
 * Experience with AWS Bedrock, SageMaker, vector search, MLflow, Databricks, or cloud experimentation environments
 * Publications, patents, open-source AI contributions, or research-to-production handoffs
 * Familiarity with Responsible AI, model validation, privacy constraints, and regulated deployment

## Description

We're looking for an Applied AI Researcher to bridge advanced AI research and real enterprise use cases at a large banking client. You'll validate models, methods, and prototypes that can become production-grade solutions, with a focus on measurable business value, rigorous experimentation, and safe translation of research into regulated banking applications.
Key Responsibilities

 * Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI
 * Design experiments to evaluate performance, robustness, safety, scalability, interpretability, and production feasibility
 * Prototype AI solutions for financial services use cases such as KYC, credit underwriting, customer 360 views, financial crime, and sanctions screening
 * Build evaluation methods using golden datasets, adversarial testing, offline benchmarks, human review, and risk-specific acceptance criteria
 * Assess prompt optimization, RAG, fine-tuning, instruction tuning, distillation, and other model adaptation techniques
 * Document model limitations, hallucination patterns, bias risks, and control recommendations for regulated deployment
 * Work with engineers to turn prototypes into production requirements covering latency, cost, observability, security, and AWS deployment
 * Track emerging AI research and turn it into practical recommendations