Senior Data Scientist & ML Engineer: AI Solutions Lead

Aimlroles; Machelen; On-site; EUR 70,000 - 110,000; Full time

Job summary

Devoteam is seeking a Senior Data Scientist - ML Engineer to join our Belgium Data & AI team. You will design, develop, and deploy ML solutions for diverse clients, collaborating with other data scientists, engineers, and consultants to deliver impactful outcomes.

You will work on building scalable data pipelines, analyzing large datasets, and translating business needs into robust technical solutions while staying current with ML/AI advances.

Qualifications

• Master's degree or PhD in CS, statistics, mathematics, or a related field.
• 5+ years of experience in data science or machine learning.
• Strong programming skills in Python or R.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Databricks experience is a plus.
• Excellent communication and interpersonal skills.
• Fluent in English; Dutch or French proficiency mandatory.
• Sponsorship for a work permit not possible.

Responsibilities

• Design, develop, and deploy machine learning models and algorithms.
• Analyze large and complex datasets to identify patterns and insights.
• Build and maintain data pipelines for data ingestion, processing, and transformation.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Stay up to date with latest advancements in ML and AI.
• Contribute to Devoteam's data science and ML capabilities.

Skills

Python or R

ML frameworks

Cloud platforms

English + Dutch/French

Communication skills

Education

Master's or PhD in CS/Statistics/Math

Tools

Databricks

Job description

Devoteam is seeking a Senior Data Scientist - ML Engineer to join our Belgium Data & AI team. You will design, develop, and deploy ML solutions for diverse clients, collaborating with other data scientists, engineers, and consultants to deliver impactful outcomes.

You will work on building scalable data pipelines, analyzing large datasets, and translating business needs into robust technical solutions while staying current with ML/AI advances.