Job Description

AI & Machine Learning Engineer

Engineering intelligence across industries. Creating impact where it matters.

At Verhaert Consulting, we apply cutting-edge technology to solve complex engineering challenges across industries. As an AI & Machine Learning Engineer, you work on diverse, high-impact projects where you translate business needs into intelligent, scalable solutions.

You combine deep technical expertise with a strong consulting mindset, taking ownership from ideation to deployment while working closely with clients, multidisciplinary teams, and stakeholders.

Your challenge

You operate at the crossroads of AI, software engineering, and infrastructure, delivering solutions that create real value in complex environments.

In this role, you will:

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  Take end-to-end ownership of AI/ML projects, from ideation and proof of concept to deployment and continuous improvement in production environments.
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  Design and implement advanced solutions such as anomaly detection systems and intelligent data-driven applications.
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  Develop and manage NLP and LLM-based solutions, including conversational AI systems leveraging techniques such as Retrieval-Augmented Generation (RAG).
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  Translate client and stakeholder needs into robust, scalable AI architectures that integrate seamlessly into existing ecosystems.
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  Ensure full observability of deployed models through logging, traceability, and performance monitoring.
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  Deploy and manage solutions across cloud (Azure) and on-premise environments, ensuring secure, reliable, and scalable infrastructure.
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  Collaborate with data engineers, software engineers, IT teams, and business stakeholders to drive projects forward and ensure successful delivery.
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  Contribute to knowledge sharing, best practices, and continuous improvement within both project teams and the broader organization.

Your expertise

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  Strong programming skills in Python, JavaScript/TypeScript, Node.js, and Bash/Shell scripting
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  Solid experience in machine learning, with knowledge of anomaly detection, and hands-on expertise in NLP, LLMs, and RAG architectures
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  Experience with DevOps, CI/CD, and MLOps practices: Git, GitHub, Azure DevOps, Docker, Kubernetes, and Helm.
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  Proven ability to design and maintain MLOps pipelines and manage model lifecycles in production.
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  Strong understanding of cloud and infrastructure environments (Azure, Linux, SSH, HPC).
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  Experience with data platforms and streaming technologies such as PostgreSQL, MongoDB, and Apache Kafka.

Your mindset

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  You think beyond technology and focus on delivering value to clients and stakeholders
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  You are proactive, autonomous, and hands-on, with a strong sense of ownership.
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  You communicate clearly and confidently, adapting your message to both technical and business audiences.
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  You thrive in a project-based environment, switching context and tackling new challenges across domains.
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  You are driven by innovation and continuous learning, and actively contribute to knowledge sharing.