Machine Learning Scientist

Salt Digital Recruitment; Amsterdam; On-site; EUR 80,000 - 120,000; Full time

Job summary

Salt Digital Recruitment is seeking a Senior Machine Learning Scientist to design, develop, and scale GenAI-powered applications and intelligent AI agents. This role involves collaboration with engineering and cross-functional teams to deploy production-ready ML systems.

The ideal candidate will have strong experience in Machine Learning and Generative AI as well as the ability to develop scalable solutions. A Master's with 3+ years or a PhD with 2+ years of experience in ML/AI is required.

Qualifications

• Strong experience in Machine Learning, Generative AI, NLP, and/or Computer Vision.
• Hands-on experience with large-scale ML model development and deployment.
• Proficiency in Python, SQL, Spark, Kafka, Hadoop, or similar technologies.

Responsibilities

• Design, train, fine-tune, and evaluate ML and Generative AI models.
• Develop scalable AI solutions using LLMs, NLP, CV, and agentic architectures.
• Analyze model performance, experimentation metrics, and data quality.
• Collaborate with engineers and cross-functional teams to deploy production-ready ML systems.
• Build reusable, scalable, and high-quality ML frameworks and pipelines.

Skills

Machine Learning

Generative AI

NLP

Computer Vision

Python

SQL

Spark

Kafka

Hadoop

Education

MSc in relevant field

PhD in relevant field

Job description

Senior Machine Learning Scientist - GenAI Applications

We are looking for a Senior Machine Learning Scientist to design, develop, and scale GenAI‑powered applications and intelligent AI agents.

Key Responsibilities

• Design, train, fine‑tune, and evaluate ML and Generative AI models.
• Develop scalable AI solutions using LLMs, NLP, CV, and agentic architectures.
• Analyze model performance, experimentation metrics, and data quality.
• Collaborate with engineers and cross‑functional teams to deploy production‑ready ML systems.
• Build reusable, scalable, and high‑quality ML frameworks and pipelines.

Requirements

• Strong experience in Machine Learning, Generative AI, NLP, and/or Computer Vision.
• Hands‑on experience with large‑scale ML model development and deployment.
• Proficiency in Python, SQL, Spark, Kafka, Hadoop, or similar technologies.
• MSc with 3+ years or PhD with 2+ years of relevant experience in ML/AI.
• Strong communication and stakeholder management skills.

*Rates depend on experience and client requirements.