GenAI Platform Engineer

Tenth Revolution Group; Brussel Hoofdstad; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Opportunities for professional growth

Supportive work culture

Résumé du poste

Tenth Revolution Group is seeking a skilled Developer to join onsite in Brussels, focusing on AWS, AI, and machine learning to drive innovative projects and enhance product offerings. You will develop and deploy ML models, work with Spark for data processing, and design robust APIs and microservices to support critical business functions.

The role emphasizes collaboration in a creative, technically excellent environment with a clear path for professional growth and a competitive salary.

Qualifications

• Proficiency in AWS services for AI/ML such as SageMaker and Comprehend.
• Strong software development skills in Python or similar languages.
• Experience building and deploying ML models and pipelines.
• Familiarity with data processing frameworks like Apache Spark.
• Solid understanding of APIs and microservices architecture.

Responsabilités

• Develop AI/ML powered features and models to enhance products.
• Build scalable data pipelines and deploy ML workloads to production.
• Collaborate with cross-functional teams to deliver end-to-end AI solutions.

Connaissances

AWS

Python

ML/AI

Spark

APIs & Microservices

Outils

SageMaker

Comprehend

Description du poste

We are seeking a skilled Developer with expertise in AWS and a strong focus on AI and Machine Learning to drive innovative projects within our organisation. This role is essential for developing advanced solutions that leverage AI capabilities, enhancing our product offerings and supporting critical business functions. The position operates onsite, fostering a collaborative environment that emphasizes creativity and technical excellence.

• Proficiency in AWS services related to AI and Machine Learning, such as SageMaker and Comprehend
• Solid software development skills in languages such as Python
• Experience in building and deploying machine learning models
• Familiarity with data processing frameworks like Apache Spark
• Strong understanding of APIs and microservices architecture

This is a full-time position based in an engaging onsite location.

• competitive salary
• opportunities for professional growth
• a supportive work culture