Data Scientist / ML Engineer – GenAI (Engineering & Maintenance)

At Sytac, we build high-performing engineering teams for leading organizations in the Netherlands and beyond. We combine a pragmatic, people-first culture with strong technical craftsmanship giving engineers autonomy in real production environments, backed by a consultancy that invests in growth, community, and long-term partnerships.

For one of our large, complex, and operationally critical clients in the aviation domain, we are looking for a Data Scientist / ML Engineer with strong GenAI experience. You’ll join an Engineering & Maintenance data program where AI solutions directly influence day-to-day operations, cost efficiency, safety, and customer experience.

This role sits at the intersection of data science, machine learning engineering, and real-world production systems. The models you work on are used 24/7 in live operational and customer-facing contexts.

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What you’ll do

• Design, develop, and deploy GenAI and LLM-based solutions used in live operational environments

• Work closely with engineers, mechanics, and business stakeholders to deeply understand real operational problems before designing solutions

• Perform exploratory data analysis to assess data quality and identify improvement opportunities

• Engineer features by combining traditional data warehouses with large-scale data lakes and new data sources

• Run experiments and track model metrics, parameters, and metadata using model registries

• Bring models to production in collaboration with data engineers and platform teams, following enterprise-grade standards

• Own models end to end: monitoring, retraining, performance improvements, and lifecycle management

• Contribute to cloud-native data science development, building and migrating solutions directly in the cloud

• Translate data science requirements into architectural decisions and ways of working

• Share learnings and best practices within engineering and data communities

You are encouraged to spend 15–20% of your time on learning and research, exploring new technologies, papers, or experimental projects that strengthen your impact as a data professional.

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What we’re looking for

• Strong experience as a Data Scientist or ML Engineer working on production-grade solutions

• Hands-on experience with GenAI / Large Language Models

• Solid software engineering skills, with production-level Python

• Deep understanding of MLOps, including deployment, monitoring, logging, and retraining

• Experience working with large-scale or big data environments

• Comfortable operating in complex, real-world operational contexts

• Able to clearly explain technical solutions to non-technical stakeholders

• Proactive, analytical, and ownership-driven mindset

• Fluent professional working proficiency in English

• EU residency (no sponsorship possible)

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Nice to have

• Experience with Graph Analysis, Agentic AI, or GraphRAG

• Exposure to cloud platforms (GCP is a strong plus)

• Experience with tools such as Docker, Git, SQL, and observability platforms

• Familiarity with Agile / Scrum ways of working

• Experience working with external partners or suppliers

• Background in Engineering & Maintenance, aviation, or other asset-heavy domains