Senior NLP Engineer (contract) jobs in United States
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Capgemini Β· 2 months ago

Senior NLP Engineer (contract)

Capgemini is a leading provider of Staffing and Consulting Services, and they are seeking a Senior NLP Engineer to design, develop, and deploy advanced NLP and LLM-driven solutions. This role involves leading the end-to-end solution delivery process and collaborating with cross-functional teams to convert business needs into AI-enabled technical solutions.

ConsultingInformation TechnologyInsurTechIT ManagementSoftware
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H1B Sponsor Likelynote

Responsibilities

Architect, build, and optimize NLP models using Hugging Face Transformers (BERT, GPT, etc.), NLTK, and knowledge-graph-based approaches
Design and develop semantic search, entity extraction, text classification, summarization, and conversational AI solutions
Develop production-ready NLP and LLM pipelines using Python, PyTorch, TensorFlow, and Keras
Lead implementation of retrieval-augmented generation (RAG) for enterprise applications
Build APIs and microservices to expose NLP/LLM capabilities across products
Integrate models into cloud platforms (GCP or Azure) for scalable deployment
Implement MLOps practices including model versioning, CI/CD workflows, automated retraining, and performance monitoring
Optimize model performance using quantization, pruning, and model compression techniques
Enable COE teams through reusable components, best practices, and technical mentorship
Collaborate with cross-functional partners to convert business needs into AI-enabled technical solutions

Qualification

Deep NLP expertisePython developmentPyTorchTensorFlowProduction-grade NLP solutionsSemantic search knowledgeAPI developmentMLOps practicesCloud experienceModel compressionDockerKubernetes

Required

Deep NLP expertise with transformer-based architectures (Hugging Face, BERT, GPT)
Strong Python development experience for NLP and ML model building
Hands-on experience with PyTorch, TensorFlow, or Keras
Experience deploying production-grade NLP solutions
Knowledge of semantic search, embeddings, knowledge graphs, and text-processing techniques
6–10 years of experience in applied NLP, ML engineering, or AI solution development
Strong background in productionizing ML models at scale
Proven experience delivering enterprise-grade NLP or LLM systems
Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field

Preferred

Experience with LLM fine-tuning, prompt engineering, and RAG patterns
API development using REST and microservices patterns
CI/CD for ML models using Jenkins, GitHub Actions, or similar
MLOps practices: model monitoring, versioning, and automated retraining
Distributed processing for large-scale NLP workloads
Cloud experience (GCP or Azure)
Model compression, quantization, and inference optimization
Docker and Kubernetes for containerized NLP model deployment

Benefits

Medical
Dental
Vision
Retirement benefits

Company

Capgemini

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Capgemini is a software company that provides consulting, technology, and digital transformation services.

H1B Sponsorship

Capgemini has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2856)
2024 (3012)
2023 (3424)
2022 (4392)
2021 (3311)
2020 (5871)

Funding

Current Stage
Public Company
Total Funding
$4.72B
2025-09-18Post Ipo DebtΒ· $4.72B
1999-04-01IPO

Leadership Team

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Aiman Ezzat
CEO, Capgemini Group
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Anirban Bose
CEO of Americas Strategic Business Unit
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Company data provided by crunchbase