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Data scientist

Anvers
Innova Solutions
Data Scientist
Publiée le 13 août
Description de l'offre

Data Scientist – NLP / LLM Specialist (Hands-On)

(Eventhough mentioned flemish region ,it's full remote, need European candidates)

Location: Remote (EU Time Zones )
Contract or Permanent | Start: ASAP

We’re looking for a hands-on Data Scientist with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). This is not an academic or purely research role, you’ll be building and deploying production-grade AI solutions that have a real impact.

Why Join?
Work on cutting-edge LLM & Generative AI projects (LangChain, LlamaIndex, HuggingFace, etc.)
Deliver real-world, deployed solutions, not just proof-of-concepts
Join a fast-moving AI/ML team where innovation meets execution

What You’ll Do
Design & develop NLP and LLM-powered applications using modern frameworks
Build & fine-tune traditional ML models (classification, regression, clustering)
Create scalable APIs for AI models using Python + FastAPI
Deploy models to production environments (AWS, containerized architectures)
Apply best practices in CI/CD, testing, and observability
Collaborate with product & engineering teams to translate business problems into AI solutions

What We’re Looking For
2–5 years professional experience in Data Science or Machine Learning
Strong NLP & LLM skills — both theory and hands-on implementation
Production-grade Python development skills (clean, testable code)
Experience with FastAPI (or similar) for model deployment
Familiarity with modern LLM stacks (LangChain, LlamaIndex, CrewAI, HuggingFace)
Solid understanding of ML libraries (scikit-learn, XGBoost, etc.)
Cloud knowledge ( AWS ECS/Lambda/S3 or similar)
Bonus: MLOps tools (Docker, Terraform, CI/CD pipelines)

✨ Nice to Have
Knowledge of embeddings & vector databases
Cost-aware AI architecture & deployment skills
Previous remote-first team experience

Compensation: Market-competitive (contract or permanent)
Start Date: ASAP

Interested? Apply now and bring your NLP/LLM expertise to a team that values technical excellence, creativity, and real-world impact .

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