Data Engineer – AI / Machine Learning - contract, remote, European Union

Data Engineer – AI / Machine LearningLocation: Remote (100%) in European Union​​​​​​​

Employment Type: Full-time, B2B contract. ​The candidate must already have, or be able to open, an LLC in their name within ​​​​​​​European Union​​​​​​​**.**

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About the Client:

Our client is a fast-growing startup building an innovative sales and marketing analytics platform. Their mission is to deliver powerful data-driven insights that empower businesses to optimize their go-to-market strategies. As they scale, they are expanding into AI/ML and seeking a foundational team member to lead this charge.

Role Summary:

We are looking for a versatile Data Engineer with a strong AI/Machine Learning background to design and build a time series forecasting engine. This is a pivotal role with ownership of the project lifecycle — from model selection and training through production deployment. You will define the blueprint for future AI initiatives while contributing to the broader development of our data-driven platform.

Key Responsibilities:

- Lead development of a neural network-based time series forecasting engine.

- Research, select, train, and validate machine learning models.

- Architect and optimize data structures for scalability and performance.

- Write and tune SQL queries to support ML training and serving.

- Analyze model accuracy, conduct A/B testing, and translate results into business value.

- Document processes and establish best practices for future AI/ML initiatives.

- Act as an internal expert for upcoming AI-based projects.

- Contribute to general software development alongside the engineering team.

Required Qualifications:

- 3+ years of hands-on experience building, training, and deploying ML models.

- Strong experience with neural network libraries (TensorFlow, PyTorch, etc.).

- Solid analytical and problem-solving skills with ability to validate model accuracy.

- Interest in working in a dynamic startup environment with a collaborative mindset.

Preferred Qualifications:

- Proficiency in SQL, relational databases, and performance tuning.

- Strong Python skills using pandas, scikit-learn, etc.

- Experience with time series modeling and forecasting.

- Familiarity with AWS SageMaker and other AWS ML/data services.

- Background in software development.