18 meilleures offres (python developer ai) (à pourvoir)

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KLA —Louvain
- Temps plein
- Informatique
- Doctorat
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Colliers International EMEA —Watermaal-Bosvoorde
- Temps plein
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- Microsoft Excel
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Laco —Diegem
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Medior Fabric Data Engineer
Laco —Diegem
- Temps plein
- Azure
- Bureau
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Sr. Devops Engineer II
DoubleVerify —Gand
- DevOps
- SQL
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Senior Backend Developer (.NET)
Sensotec nv —Jabbeke
- De 3 750 € à 5 000 € par mois
- Temps plein
- Azure
- Anglais
- Bases de données
- Travail à domicile
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Medior Backend Developer (.NET)
Sensotec nv —Jabbeke
- De 3 000 € à 4 000 € par mois
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Python Developer AI
Yechte Consulting —Belgique
- Master
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TelSmart —Belgique
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Senior Back-End Developer
Vector Synergy —Belgique
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Enterprise Solutions Engineer - Belgium
ElevenLabs —Belgique
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Deployment Strategist - Belgium
ElevenLabs —Belgique
- Temps plein
- Travail hybride
- Vente
- Master
- APIs
Full Stack Developer (Test/Workflow Management System)
Aerospacelab —Belgique
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Senior Software Engineer - AI First
CluePoints —Belgique
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Deployment Strategist Lead - Belgium
ElevenLabs —Belgique
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Senior Expert Software Engineer
Euroclear —Belgique
- Disponible le week-end
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ElevenLabs —Belgique
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AI Engineer

TÜV AUSTRIA
Rotselaar

Soumettre votre candidature

Détails de l'emploi

Temps plein
Il y a 1 jour

Avantages

Jours de congés supplémentaires
Éco-chèques
Voiture de société
Chèques repas
Assurance hospitalisation
Assurance groupe

Qualifications

TensorFlow
CI/CD
Informatique
Azure
Informatique
Kubernetes
PyTorch
DevOps
C#
Git
Google Cloud Platform
Java
Master
Bases de données
Microservices
OS kernels
AWS
Docker
Bachelier
Machine learning
JavaScript
Deep learning
APIs
Exigences opérationnelles
Cyber-sécurité
Intelligence artificielle
Python
Architecture logicielle

Description complète du poste

Rotselaar

Quick Job Info

Job Type: fulltime

Experience Level: five to ten years of experience

Job Status: Employee

Hours per week: 40

Location: Rotselaar, BE

What will you do?

TÜV Austria Belgium is looking for a highly qualified and motivated AI Engineer to strengthen our Data Intelligence team. In this role, you design, develop, and deploy innovative AI solutions that help organizations solve complex business challenges and unlock value from data. You work with machine learning, Generative AI, and cloud technologies to build scalable, production-ready applications.

Are you passionate about Artificial Intelligence, Large Language Models, and cloud-native architectures? Then we look forward to receiving your application.

Key Responsibilities

AI Solution Development: Design, develop, and deploy AI and machine learning solutions. Build end-to-end AI applications, from data ingestion and model development to deployment and monitoring.
Generative AI & LLMs: Develop AI assistants, copilots, intelligent agents, and RAG applications. Implement prompt engineering, orchestration, and optimization strategies to maximize business value.
AI Architecture & Engineering: Design scalable APIs, microservices, and cloud-native AI architectures. Implement vector search, semantic search, and knowledge retrieval solutions.
Cloud AI Platforms: Build and deploy AI solutions on Microsoft Azure, AWS, and Google Cloud, leveraging platforms such as Azure OpenAI, Azure AI Foundry, AWS Bedrock, SageMaker, and Vertex AI.
MLOps & LLMOps: Implement automated deployment, monitoring, governance, and lifecycle management processes for AI solutions, following MLOps and LLMOps best practices.
Data Engineering & AI Enablement: Develop data pipelines and feature-engineering processes that support AI and analytics workloads while ensuring data quality and scalability.
Client Interaction: Work closely with clients to translate business requirements into AI solutions and present concepts, prototypes, and results to diverse stakeholders.
Collaboration: Collaborate with data engineers, software developers, AI specialists, cybersecurity experts, and project managers to deliver end-to-end solutions.
Continuous Innovation: Stay up to date with emerging AI technologies and contribute to innovation and knowledge sharing across the organization.

Een functie waarin je actief bijdraagt aan de verdere ontwikkeling en groei van de AI & Digital-divisie binnen TÜV Austria, met impact op innovatieve projecten rond Artificial Intelligence, Generative AI en Agentic AI in uiteenlopende sectoren.
Een ondersteunende en collegiale werkomgeving met een open en respectvolle bedrijfscultuur, waar kennisdeling, samenwerking en continue verbetering centraal staan.
De kans om te werken met de nieuwste AI-technologieën, cloudplatformen en enterprise-oplossingen, en organisaties te ondersteunen bij het creëren van waarde met moderne AI-capaciteiten.
Een organisatie die haar winst bewust herinvesteert in medewerkers, technologie en dienstverlening, zodat je werkt in een omgeving die voortdurend innoveert en inspeelt op nieuwe technologische ontwikkelingen.
Uitgebreide mogelijkheden voor professionele ontwikkeling via opleidingen, certificeringen en praktijkervaring binnen Artificial Intelligence, Generative AI, Machine Learning, Cloud AI Services, MLOps en AI Engineering.
De mogelijkheid om een sleutelrol te spelen in het vormgeven van de toekomst van AI-gedreven dienstverlening en digitale innovatie binnen TÜV Austria Belgium en haar klanten.
Flexibele werkregelingen en een gezonde work-life balance, zodat je zowel professioneel als persoonlijk optimaal kunt presteren.
Een competitief salarispakket aangevuld met een uitgebreid pakket extralegale voordelen, waaronder:
- Maaltijdcheques van €8 per gewerkte dag en ecocheques ter waarde van €250 per jaar.
- Hospitalisatieverzekering (inclusief ambulante zorgen en tandzorg), groepsverzekering en de mogelijkheid om gezinsleden aan te sluiten.
- Eindejaarspremie.
- Mobiel abonnement en een Bring Your Own Device-vergoeding.
- Laptop.
- Bedrijfswagen met laadkaart of mobiliteitsbudget.
- Flexibel Inkomensplan (FIP) met mogelijkheden zoals extra vakantiedagen, aankoop van telecomtoestellen, fietsleasing, enzovoort.
- Anciënniteitsverlof vanaf 2 jaar dienst.
- Glijdende werktijden, telewerkmogelijkheden en aandacht voor een gezonde work-life balance.

Who are you?

Education:

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.

Experience:

Minimum 5 years of experience in AI engineering, machine learning, software development, or data engineering.
Proven track record of delivering AI solutions from concept and prototyping through production deployment.
Experience working directly with customers and translating business requirements into scalable technical solutions.
Fluency in both written and spoken and is required.

Technical Skills:

Strong proficiency in Python; experience with Java, C#, or JavaScript is considered an asset.
Generative AI & LLMs:
- Hands-on experience building Generative AI applications leveraging Large Language Models (LLMs) and foundation models.
- Experience with frameworks and libraries such as LangChain, LlamaIndex, Semantic Kernel, or similar technologies.
- Familiarity with Retrieval-Augmented Generation (RAG), vector databases, semantic search, knowledge retrieval, and AI agent frameworks.
- Experience integrating AI coding assistants and autonomous agent capabilities into software engineering workflows.
Machine Learning & AI:
- Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent technologies.
- Understanding of model evaluation, prompt engineering, fine-tuning, and responsible AI practices.
Cloud Platforms & AI Services:
- Microsoft Azure: Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Azure AI Search, Microsoft Fabric.
- AWS: Bedrock, SageMaker, Lambda, and related AI/ML services.
- Google Cloud: Vertex AI and associated machine learning services.
Software Engineering & Architecture:
- Experience designing and developing APIs, microservices, and modern cloud-native applications.
- Strong understanding of software architecture patterns and scalable application design.
- Experience with Git-based development workflows and modern software engineering best practices.
DevOps, MLOps & LLMOps:
- Experience with DevOps, MLOps, and LLMOps methodologies.
- Familiarity with CI/CD pipelines, automated testing, model monitoring, and AI application lifecycle management.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Analytical Thinking:

Ability to analyze complex business challenges and design innovative AI-driven solutions that deliver measurable business value.

Communication:

Strong communication and stakeholder management skills, with the ability to explain complex AI concepts to both technical and non-technical audiences.

Ethical Standards:

Commitment to responsible AI, data privacy, security, governance, and compliance with relevant regulations and industry standards.

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Who are you?

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