Applied AI Engineer: Production-Ready ML & GenAI

dataroots, a Talan company; Vlaams-Brabant; Hybride; EUR 52 000 - 78 000; Plein temps

Avantages offerts par ce poste

Mobility budget / Company car

Insurance

Laptop

Phone with subscription

Holidays

Training budget

Team-building events

Diverse work environment

Résumé du poste

Dataroots, a Talan company, is seeking an AI engineer to design, build and deploy AI solutions for diverse clients across industries. You’ll work on production-ready models, apply MLOps practices and orchestrate GenAI and agentic AI use cases, with cloud deployments on AWS/Azure/GCP.

You’ll contribute to data workflows, collaborate with cross-functional teams, and translate business problems into technical scopes while maintaining a product-focused mindset and clear client communication.

Qualifications

• : 2+ years of experience developing AI-driven applications or systems.
• Proficiency in Python & SQL is a must
• Strong foundation in software design principles
• Familiarity with generative AI and agentic approaches
• Experience deploying AI systems to production
• Cloud platform experience (AWS/Azure/GCP)
• English and Dutch fluency

Responsabilités

• Design, build and deploy AI solutions for clients across industries.
• Apply MLOps and LLM orchestration practices to production-grade systems.
• Translate business problems into technical scopes with a product mindset.
• Collaborate with teams to ensure reliable, scalable AI deployments.

Connaissances

Python

SQL

Software design

Cloud platforms

MLOps

LLMOps

Front-end experience

Communication skills

Business mindset

English fluency

Dutch fluency

Outils

AWS

Azure

GCP

Description du poste

Dataroots, a Talan company, is seeking an AI engineer to design, build and deploy AI solutions for diverse clients across industries. You’ll work on production-ready models, apply MLOps practices and orchestrate GenAI and agentic AI use cases, with cloud deployments on AWS/Azure/GCP.

You’ll contribute to data workflows, collaborate with cross-functional teams, and translate business problems into technical scopes while maintaining a product-focused mindset and clear client communication.