Machine Learning Engineer(GenAI)

Salt is currently hiring a Machine Learning Engineer for a client of ours in Amsterdam.

This is a contract role for 9 months.

The Machine Learning Engineer is a technical subject-matter expert who drives significant business impact by owning projects end-to-end — from ideation and data collection to model development, experimentation, deployment, monitoring, and iteration in production environments.

Key Responsibilities

• Develop and maintain production-grade machine learning models, features, and pipelines with scalability, monitoring, and retraining capabilities.
• Write clean, reusable, and efficient code using appropriate technologies and best practices.
• Monitor model and product performance, ensuring measurable business impact and acting when requirements are not met.
• Apply structured thinking to identify opportunities and solve complex problems across domains.
• Collaborate with cross-functional teams to define requirements and deliver high-quality ML solutions.
• Communicate clearly with technical and non-technical stakeholders.
• Continuously stay up to date with advancements in Machine Learning and AI.
• Contribute to improving ML tooling, infrastructure, and best practices.
• Participate in on-call rotations as required.

Education & Experience

• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• 4+ years of relevant experience applying Machine Learning to business problems in production environments.

Requirements of Special Knowledge/Skills

• Strong knowledge in areas such as Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, or large-scale ML systems.
• Experience working with large datasets, experimentation frameworks, scalability, and optimization.
• Experience with data-driven product development (analytics, A/B testing, experimentation).
• Strong proficiency in one or more programming languages such as Python, Java, or similar.
• Experience with version control systems.
• Excellent written and verbal English communication skills.
• Proven ability to collaborate closely with cross-functional partners (e.g., data scientists, product managers, engineering managers, and business stakeholders) to deliver end-to-end solutions, with strong business understanding and teamwork skills.

Generative AI Experience

• Hands-on production experience with Generative AI systems (LLMs and/or agent-based applications), including deployment, monitoring, scaling, evaluation, and reliability considerations.
• Experience designing or contributing to agentic systems and AI application architectures.
• At least 1 year of recent hands-on Generative AI experience within the overall 4+ years of relevant experience.