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Medior/Senior Machine Learning Engineer (GCP, LLM/RAG)

Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications

We are seeking a Medior/Senior Machine Learning Engineer to join our team in Amsterdam, working on production-grade ML and GenAI solutions. You will build, deploy, and maintain ML pipelines and infrastructure on Google Cloud Platform, and productionize LLM and RAG solutions. This is a 12-month contract with hybrid work (2 days WFH) and visa sponsorship available.

Key Highlights
12-month contract with possibility of extension
Hybrid work: 2 days work from home, 3 days in office
Hands-on experience with LLMs and RAG in production
Visa sponsorship for candidate and dependants
Competitive gross salary, not a constraint for the right candidate
Key Responsibilities
Build, deploy and maintain production-grade ML solutions.
Design and maintain end-to-end ML pipelines, from data preparation to deployment, monitoring and retraining.
Productionize ML models developed by Data Scientists and integrate them into operational systems.
Build and improve scalable ML infrastructure on Google Cloud Platform (GCP).
Develop and maintain reliable data pipelines in collaboration with Data Engineers.
Develop and deploy LLM and RAG solutions for production use.
Apply strong software engineering practices, including clean code, testing, Git, CI/CD and code reviews.
Monitor and improve the performance, reliability, scalability and maintainability of ML solutions.
Collaborate closely with Data Scientists, Data Engineers and Product Owners to translate business needs into practical technical solutions.
Technical Skills Required
Python Machine Learning Engineering Google Cloud Platform (GCP)
Benefits & Perks
20 days of holiday per year
Personal Development - Certification (Certification Charges reimbursed)
Income Tax Return Filing
Visa Sponsorship for Candidate & Dependants
Possibility of bonus

Job Description

Contract: 12 months (subject to extension).

Location: Amsterdam, Netherlands.

Salary: Not a constraint for the right candidate!

Experience: 6-8 years.

Hybrid: 2 days Work from Home 3 days Work from Office

Your Profile & DNA:

We are looking for a Medior/Senior Machine Learning Engineer who will work with ML Engineers, Data Scientists and Product Owners to turn ML and GenAI solutions into reliable, scalable and production-ready products.

Roles & Responsibilities

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