data scientist

Enfint; Amsterdam; On-site; EUR 85,000 - 115,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Enfint ищет Data Scientist / ML Engineer в Амстердам для разработки и поддержания продакшн-решений на базе машинного обучения и ИИ. Вы будете работать в кросс-функциональных командах над аналитикой, интеграциями API и оценкой моделей.

Требуется опыт работы в продакшн-средах, сильные навыки Python и знание CI/CD. Предлагается гибридная рабочая модель и возможность работать с передовыми технологиями AI.

Qualifications

• Обширный опыт Data Scientist и/или Machine Learning Engineer в production средах.
• Сильная разработка на Python и поддержка чистого, тестируемого кода.

Responsibilities

• Разработка, поддержка и улучшение ML-решений в продакшне.
• Проведение анализа данных и подготовки отчетности для product и бизнеса.
• Проектирование и оптимизация масштабируемых AI-решений в современной среде разработки.

Skills

Data Science

Python development

Agile teamwork

Analytical thinking

Tools

Git

CI/CD

API integrations

GraphQL

Job description

Описание:

The organization develops innovative AI solutions that support the digital transformation and automation of complex business processes. It invests in data, AI, and software engineering within a multidisciplinary, collaborative environment.

Задачи:

• Develop, maintain, and improve production-grade machine learning and data science solutions
• Perform data analysis and reporting to support product, business, and technical decision-making
• Design, build, and optimize scalable AI solutions within a modern software engineering environment
• Collaborate with Data Scientists, Software Engineers, QA Engineers, and Product Owners in Agile, cross-functional teams
• Contribute to implementing Generative AI capabilities in existing products while ensuring quality, governance, and scalability
• Develop AI solutions involving Large Language Models, agentic AI, API integrations, and intelligent workflows
• Design and improve evaluation methodologies for AI systems, including prompt evaluation, model validation, and monitoring of model behavior
• Help deliver secure, maintainable, and production-ready AI solutions that scale effectively

Требования:

• Extensive experience as a Data Scientist and/or Machine Learning Engineer in production environments
• Strong Python development skills and experience writing clean, maintainable, and testable code
• Proven experience across the full machine learning lifecycle, including experimentation, deployment, monitoring, and maintenance
• Experience with Git, version control, and modern CI/CD practices
• Strong analytical skills with the ability to translate data insights into product and business improvements
• Experience working in Agile, cross-functional development teams
• Solid understanding of Generative AI, Large Language Models, Retrieval-Augmented Generation, and agentic AI concepts
• Experience with API integrations and modern software architectures
• Familiarity with AI evaluation and monitoring techniques, including prompt evaluation, model validation, hallucination detection, and model drift monitoring
• Nice to have: Experience with GraphQL, OAuth, Keycloak, or similar authentication and integration technologies, GitHub Actions and automated CI/CD workflows, production observability and monitoring of AI platforms, affinity with AI strategy, innovation, and building scalable AI products

Условия:

• Contract employment
• 40 Hours per week
• Hybrid working model
• Opportunity to work with the latest AI, machine learning, and Generative AI technologies
• Secondment/Payroll
• Salary around 100K gross.