NTT

5 days ago

Applied AI Researcher

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Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Bridge advanced AI research with practical enterprise use cases by validating LLM/NLP, RAG, agentic workflows, and multimodal approaches that can become production-grade AIRP solutions. Design rigorous experiments to evaluate performance, robustness, safety, scalability, interpretability, and enterprise usefulness, then translate findings into production-ready requirements for an AWS-hosted platform. Prototype solutions for regulated banking workflows like KYC, underwriting, and sanctions screening.

Location: Jersey

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI.
•Design experiments to evaluate model performance, robustness, safety, scalability, interpretability, and production feasibility.
•Prototype AI solutions for use cases such as KYC, credit underwriting, governance tracking, pitch book generation, and sanctions screening.
•Develop evaluation methodologies using golden datasets, adversarial testing, offline benchmarks, human review, and risk-specific acceptance criteria.
•Collaborate with engineers to convert prototypes into production-ready AIRP requirements, including latency, cost, observability, security, and AWS/cloud deployment considerations.

Pay and Benefits

Salary: USD 139,872 - 209,808

Perks:MedicalDentalVisionFlexible SpendingHealth InsuranceLife InsuranceAd&d InsuranceShort DisabilityLong DisabilityPaid LeaveEmployee Assistance401k

Key Requirements

•Advanced degree preferred (MS or PhD) in AI/ML, computer science, statistics, computational linguistics, mathematics, or related fields.
•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 experience with PyTorch, TensorFlow, Hugging Face, scikit-learn, or equivalent research frameworks.
•Ability to design rigorous experiments and communicate results across technical, product, business, risk, and governance stakeholders.

Experience:BankingFinance

Skills:Communicating findingsExperiment designCross-functional collaborationResearch-to-production translation

Tech Stack:LLMNLPGenAIAgentic AITransformersRAGInformation retrievalEmbeddingsSynthetic dataMultimodal AIPyTorchTensorFlowHugging FaceScikit-learnAWS BedrockSageMakerVector searchMLflowDatabricksPrompt optimization

Company Brief

NTT

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

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NTT