Senior AI Engineer

JR Spain; España; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A dynamic technology firm in Spain is looking for an AI Engineer to join their Data & Analytics team. The role involves developing and deploying machine learning models to enhance business outcomes such as personalization, fraud detection, and responsible gaming. Ideal candidates should have strong experience in machine learning, proficient programming skills in Python, and familiarity with cloud services. This position offers the opportunity to work in a fast-paced and innovative environment.

Servicios

Fun and fast-paced work environment

Opportunities for growth and challenge

Formación

• Strong experience in applied machine learning with production models.
• Solid programming skills in Python.
• Experience with ML frameworks like TensorFlow or PyTorch.

Responsabilidades

• Design and maintain machine learning pipelines.
• Collaborate to productionize models and systems.
• Develop infrastructure for model training and monitoring.

Conocimientos

Applied machine learning expertise

Python programming

ML frameworks (TensorFlow, PyTorch)

Cloud services (AWS, GCP, Azure)

MLOps tools familiarity

Data pipelines knowledge

SQL/NoSQL experience

Collaboration in teams

Herramientas

Docker

Git

Descripción del empleo

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We’re looking for a hands-on AI Engineer to join Betsson Group’s growing Data & Analytics team. You’ll work closely with data scientists, software engineers, and product teams to develop and deploy machine learning models that drive real business outcomes such as personalization, customer segmentation, fraud detection, responsible gaming, and more.

This is a key role for someone who’s passionate about building scalable ML solutions in production and who thrives in a fast-paced, data-rich environment.

The Wow

We’re looking for a hands-on AI Engineer to join Betsson Group’s growing Data & Analytics team. You’ll work closely with data scientists, software engineers, and product teams to develop and deploy machine learning models that drive real business outcomes such as personalization, customer segmentation, fraud detection, responsible gaming, and more.

This is a key role for someone who’s passionate about building scalable ML solutions in production and who thrives in a fast-paced, data-rich environment.

A taster of what you will be involved with

1. Design, build, and maintain end-to-end machine learning pipelines, from data pre-processing to deployment and monitoring.
2. Collaborate with data scientists to productionize models and turn prototypes into reliable, scalable systems.
3. Work closely with product managers and domain experts to understand business needs and translate them into ML solutions.
4. Develop and maintain infrastructure for model training, testing, deployment, and performance tracking.
5. Contribute to the development of realtime inference systems and microservices using ML models.
6. Use ML to support key areas such as player retention, game recommendations, personalization, fraud detection, and player risk profiling.
7. Keep up with new techniques in ML, AI, and MLOps, and identify where they can be applied to improve our systems.
8. Ensure compliance with regulatory and ethical standards, especially around responsible gaming and data privacy.

What we are looking for

1. Strong experience in applied machine learning, with models in production.
2. Solid programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
3. Experience building and deploying ML models using cloud services (AWS, GCP, or Azure).
4. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, SageMaker).
5. Good understanding of data pipelines, APIs, containers (Docker), and version control (Git).
6. Experience working with large-scale datasets and SQL or NoSQL databases.
7. Ability to work independently and collaboratively in a cross-functional team.

Nice to have

1. Experience with realtime ML applications and streaming data (Kafka, Flink, etc.).
2. Familiarity with recommendation systems, timeseries models, or reinforcement learning.
3. Exposure to the iGaming industry or other highly regulated, customer-facing domains.
4. Understanding of A/B testing and statistical evaluation of model performance.

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! We are a business 75% millennial, with 1700 employees spread across 7 offices, including 900 based out of our Malta HQ. We recognize it may not be for the faint-hearted, but if you’re a go-getter, initiator, and adrenaline junkie, always striving to push boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

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