BE - Senior Data Science Engineer
Collaboration Betters the World —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Doctoraat
Data Engineer Confirmé
Extia —Bruxelles Auderghem
- Java
- AWS
- Machine learning
(Senior) Technology Engineer
Belfius —Brussel
- Azure
- Java
- Master
- Pensioensparen
Lead Architect Cross-Border
bpost —Brussel
- Computerwetenschappen
- Azure
- Schema interpretatie
- GSM-vergoeding
AI Engineering Lead
Capgemini —Diegem
- Azure
- Java
- Master
Senior Project Leader
Elmos —Brussel
- Azure
- Engels
- Java
Murex Expert (engineer)
Belfius —Brussel
- DevOps
- Java
- Master
- Pensioensparen
Freelancer Senior Functional Analyst – Payments
ARHS —Brussel
- Voltijds
- Hybride werken
- Systeem ontwerpen
- Java
- Machine learning
Snel solliciteren
Google Senior Data Engineer
Devoteam G Cloud Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Engels
- Java
- Tankkaart
Snel solliciteren

More jobs to discover

Find similar jobs that you might be interested in.

Techniciens véhicules électriques & haute tension (BAC ou équivalent par expertise HEV/BA4)
Steveny Group —Namen (stad)
Nous ne pouvons pas encore dévoiler tous les détails, mais nous pouvons déjà vous garantir une chose : vous participerez à une initiative innovante, ambitieuse…
.Net Developer H/F Consortia - Testing, Développement, Data & IA · Bruxelles · Hybride
Consort Group —Bruxelles Ixelles
Un premier échange téléphonique avec notre team recrutement. Assurer la maintenance évolutive des outils de gestion du réseau. C’est votre future équipe.
€ 55.000 - € 75.000 per jaar

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van java cloud in wavre

Door in te loggen op je account, ga je akkoord met de Algemene voorwaarden van SimplyHired en stem je in met ons Cookie- en privacybeleid.

Zoek vacatures in meer locaties

java cloud jobs near wavre

Vacatures voor een Data Scientist in Rebecq Rognon

Vacatures voor een Data Analyst in Charleroi Gosselies

Vacatures voor een Data Visualization in Antwerpen (provincie)

Vacatures voor een Data Scientist in Universitair Ziekenhuis Gent

Vacatures voor een Data Scientist in Leuven

Vacatures voor een Data Scientist in Louvain La Neuve

Vacatures voor een Technical Analyst in Bruxelles Anderlecht

Vacatures voor een Projectleider in Gent

Vacatures voor een Freelance Projectleider in Antwerpen

Vacatures voor een Junior Projectleider in Limburg (provincie)

Vacatures voor een Projectleider Bouw in Beveren (roeselare)

Vacatures voor een Projectleider Elektriciteit in Limburg (provincie)

Vacatures voor een Projectleider Piping in Oost Vlaanderen

Vacatures voor een Data Engineer in Liège (city)

Vacatures voor een Ai Engineer in Brussel

Vacatures voor een Embedded Software Engineer in Brussels

Vacatures voor een Data Engineer in Antwerpen (provincie)

Vacatures voor een Data Engineer in Brussels

Vacatures voor een Data Engineer in Hasselt België

Vacatures voor een Robotics Engineer in Antwerpen

BE - Senior Data Science Engineer

Collaboration Betters the World -
Brussel

Nu solliciteren

Vacaturegegevens

Voltijds

Kwalificaties

Frans
TensorFlow
Computerwetenschappen
Azure
Doctoraat
Informatica
Kubernetes
PyTorch
Computervisie
Spark
R
Engels
Google Cloud Platform
Java
Master
SQL
AWS
Docker
Machine learning
Scala
Deep learning
NLP
Softwareontwikkeling
Agile
Kafka
Data science
Oplossingsarchitectuur
Artificiële intelligentie
Managementervaring
Communicatieve vaardigheden
Datawarehouse
Python

Volledige vacaturetekst

BE - Senior Data Science Engineer

Location Belgium, Brussels

Overview

Overview

We are seeking a highly skilled and experienced Senior Data Science Engineer to join our "Data & AI" service line at CBTW. In this role, you will play a critical role in designing, implementing, and deploying advanced data science and machine learning solutions for our European clients. You will work at the intersection of data engineering, machine learning, and software engineering to deliver scalable, production-ready AI solutions.

You will lead end-to-end data science projects, from problem definition and data exploration to model development, deployment, and monitoring. You will collaborate with cross-functional teams including data engineers, software engineers, and business stakeholders to create innovative AI-driven solutions that deliver measurable business value. As a senior member of the team, you will also mentor junior data scientists and drive best practices in MLOps and model lifecycle management.

Responsibilities

Key Responsibilities

Data Science and Machine Learning

Design and develop advanced machine learning models for various use cases including predictive analytics, recommendation systems, natural language processing, and computer vision
Conduct thorough data exploration and analysis to identify patterns, trends, and insights
Implement feature engineering and selection techniques to optimize model performance
Ensure model interpretability and explainability for business stakeholders

MLOps and Model Deployment

Design and implement end-to-end MLOps pipelines for model training, validation, and deployment
Establish automated model monitoring and retraining workflows
Implement A/B testing frameworks for model performance evaluation
Ensure models meet production requirements for scalability, latency, and reliability

Data Engineering and Infrastructure

Collaborate with data engineers to design and optimize data pipelines for ML workloads
Implement data quality validation and monitoring systems
Work with cloud platforms (AWS, Azure, GCP) to deploy scalable ML infrastructure
Utilize big data technologies (Spark, Kafka, etc.) for large-scale data processing

Solution Architecture and Design

Design scalable and robust data science solutions that align with business requirements
Architect real-time and batch inference systems for production deployment
Implement best practices for model versioning, experiment tracking, and reproducibility
Ensure solutions follow security and compliance requirements

Leadership and Collaboration

Lead cross-functional project teams including data scientists, engineers, and business stakeholders
Mentor junior data scientists and promote knowledge sharing within the team
Collaborate with clients to understand business requirements and translate them into technical solutions
Drive innovation and adoption of new tools, techniques, and methodologies

Qualifications

Required Skills and Experience

Technical Skills

Machine Learning: Deep expertise in supervised and unsupervised learning, deep learning frameworks (TensorFlow, PyTorch), and model optimization techniques
Programming: Strong proficiency in Python and/or R, with experience in SQL and knowledge of additional languages (Java, Scala) as a plus
Data Engineering: Experience with data pipeline tools (Airflow, Prefect), big data technologies (Spark, Kafka), and data warehousing concepts
MLOps: Hands-on experience with MLOps tools (MLflow, Kubeflow, Sagemaker) and model deployment strategies (Docker, Kubernetes)
Cloud Platforms: Proficiency with cloud-based ML services (AWS SageMaker, Azure ML) and infrastructure management
Statistical Analysis: Strong foundation in statistics, experimental design, and hypothesis testing
Agentic AI: Interest or experience with agentic Artificial intelligence frameworks and multi-agent systems (LangChain, AutoGen, CrewAI, etc.) is a plus

Experience

Minimum of 5 years of experience in data science and machine learning, with at least 2 years in a senior or lead role
Proven track record of deploying machine learning models in production environments
Experience with end-to-end data science project delivery in enterprise environments
Strong understanding of software development best practices and agile methodologies

Soft Skills

Excellent communication skills, both written and verbal
Fluent in French and English (required)
Able to travel in Europe for client engagements and project delivery
Strong problem-solving abilities and analytical mindset
Ability to translate complex technical concepts for business stakeholders
Leadership experience with cross-functional teams

Preferred Qualifications

Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, or related field
Experience with specific industry domains (finance, healthcare, retail, etc.)
Knowledge/experience with Databricks, Azure Fabric, or IBM Watson X (a plus)
Publications in peer-reviewed conferences or journals
Certifications in cloud platforms (AWS Certified Machine Learning, Azure Data Scientist Associate, etc.)

#LI-YM1

Nu solliciteren

Verfijn je zoekopdracht

java cloud vacatures in wavre

BE - Senior Data Science Engineer

Data Engineer Confirmé

(Senior) Technology Engineer

Lead Architect Cross-Border

AI Engineering Lead

Senior Project Leader

Murex Expert (engineer)

Freelancer Senior Functional Analyst – Payments

Google Senior Data Engineer

More jobs to discover

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van java cloud in wavre

Related Searches

Zoek vacatures in meer locaties

BE - Senior Data Science Engineer

Overview

Responsibilities

Qualifications

Tools voor werkzoekenden

Werkgeverstools

Bladeren

Blijf verbonden