Data Engineer AI Machine Learning contract, remote, European Union

Kats Recruitment; Barcelona; A distancia; EUR 40.000 - 75.000; Jornada completa

Descripción de la vacante

An innovative recruitment agency in Barcelona is seeking a versatile Data Engineer with a solid AI/Machine Learning background. In this pivotal role, you will design and build a time series forecasting engine and lead key AI initiatives. The ideal candidate has over 3 years of experience in deploying ML models and a strong expertise in neural networks. Join a dynamic startup environment and contribute to cutting-edge data-driven solutions.

Formación

• 3+ years of hands-on experience building, training, and deploying ML models.
• Strong experience with neural network libraries.
• Solid analytical and problem-solving skills.

Responsabilidades

• 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.

Conocimientos

Machine Learning

Neural Networks

Data Analysis

Problem Solving

Collaboration

Herramientas

TensorFlow

PyTorch

SQL

Python

AWS

Descripción del empleo

Overview

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.