AI and Machine Learning Engineer (Generative AI)

TL;DR

AI and Machine Learning Engineer (Generative AI): Designing and implementing state-of-the-art Generative AI and LLM solutions for client digital transformations with an accent on defining best practices for scalable AI solutions and driving successful business outcomes. Focus on deep architectural discussions, staying at the forefront of AI advancements, and ensuring optimal performance and integration.

Location: **Hybrid in Diegem, Belgium**, with flexibility to work 70% from home and up to 45 days abroad through a flex program.

Company

hirify.global Data & AI helps clients in their digital transformations by taming complex data for easy interpretation.

What you will do

• Design, evangelize, and implement state-of-the-art solutions for complex problems using ML and Generative AI tools.
• Define and implement best practices for building, testing, and deploying scalable AI solutions, with a focus on generative models and LLM.
• Drive successful business outcomes by educating, training, designing, and building cloud-hosted Generative AI solutions.
• Interact directly with customers to understand business problems and aid in ML ecosystem implementation.
• Participate in deep architectural discussions and design exercises, ensuring solutions are designed for successful cloud deployment.
• Stay at the forefront of AI technological advancements, especially in Generative AI and LLM, and assess their applicability.

Requirements

• Minimum of 4 years of experience in designing and building AI solutions with a strong focus on end-to-end automation.
• Proven expertise in machine learning techniques, deep learning frameworks, image processing, and Generative AI.
• Experience with one of the cloud platforms, preferably Azure, Python, or PySpark.
• Experience using the latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., Tensorflow, PyTorch).
• Good understanding of software architecture patterns and application development.
• Familiarity with DevOps, DataOps, MLOps, LLMOps principles including CI/CD and AI-related automation.
• Fluent Dutch with professional working proficiency in English.

Culture & Benefits

• Hybrid way of working with the option to work 70% from home.
• Flex abroad program allowing work up to 45 days abroad for improved work-life balance.
• Additional benefits include net expenses, company car or mobility budget, health insurance, meal vouchers, and a pension plan.
• Eco vouchers from €250/year and a flex plan to buy extra days off, update insurance, or purchase home office supplies.
• 32 vacation days plus Bank holidays.