# AI/ML Engineer

**Company:** [SquareDev](http://jobs.workable.com/companies/wQZ5ptvWTa31vomire9Cix.md)
**Location:** Brussels, Belgium
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** AI & Data

[Apply for this job](http://jobs.workable.com/view/bef9e3af-742a-4325-b185-e4e36fbca267)

## Description

### **Why are you looking for a job?**

If your answer ticks all the boxes, this could be the start of a great collaboration.

-   You have a curious mind - You won't understand what we're talking about if you don't 🤔
-   You want to learn more around technology - You won't survive if you don't 😱
-   You want to make the world a bit better - We don’t like you if you don’t 😎

We happen to be just like that as well. We like hacking things here and there (you included) and create scalable solutions that bring value to the world.

### **SquareDev? 🐿️**

We use state-of-the-art technology to build solutions for our customers and our partners' customers. We make sure we stay best-in-class by participating in **research projects across Europe**, collaborating with **top universities and enterprises** **on** **AI, Data, and Cloud**.  
  
**About QnR Group**

**SquareDev is a member of the** **QnR Group**, a leading technology organization specializing in end-to-end custom software solutions, Artificial Intelligence, Cybersecurity, SAP S/4HANA, SAP Business One, ServiceNow, and FinTech solutions.

As part of QnR Group's ongoing expansion — both in Greece and internationally — we are continuously hiring across a wide range of tech roles. Successful candidates may be hired by QnR Group, or another company within the Group, depending on the role and project.

### **Role overview**

We are looking for an **AI/ML Engineer** to join our team and work on advanced projects spanning Natural Language Processing, generative AI, and machine learning. You will design, build, and operate intelligent systems that support data-driven decision-making, while ensuring alignment with data governance standards and the EU AI Act.

## Requirements

**The ideal candidate will be responsible for:**

-   Design, train, and deploy machine learning models and AI applications, including LLMs and generative AI, across a range of real-world use cases.
-   Integrate generative AI APIs and implement Retrieval-Augmented Generation (RAG) pipelines for targeted applications.
-   Build and optimize ML classifiers through rigorous feature selection and algorithm tuning.
-   Contribute to the improvement and systematic evaluation of machine translation (MT) engines, applying quality metrics such as BLEU scores.
-   Collaborate with data stewards to define data governance rules, quality controls, and bias mitigation strategies.
-   Design technical architectures for NLP/ML/AI solutions and coordinate their delivery with engineering teams.
-   Implement MLOps workflows (CI/CD/CD) for model versioning, deployment, monitoring, and retraining.
-   Produce technical documentation and communicate AI concepts clearly to both technical and non-technical stakeholders.
-   Ensure compliance with data protection regulations and the requirements of the EU AI Act.

**To excel in this role, you'll need:**

-   Excellent knowledge of Python and R, along with key AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, SpaCy, and NLTK.
-   Solid understanding of ML algorithms (SVM, Neural Networks, Decision Forests) and deep knowledge of generative AI and large language models.
-   Hands-on experience with cloud model training platforms such as AWS SageMaker or Azure Machine Learning Studio.
-   Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) and cloud AI platforms (AWS Bedrock, Azure AI Studio).
-   Experience with MLOps tooling (MLflow, Kubeflow) and responsible AI practices (bias detection via IBM AIF360, Fairlearn; explainability via SHAP, LIME).
-   Working knowledge of SQL, NoSQL databases, and data visualization tools (D3.js, GGplot).
-   Good applied statistics skills and a data-driven mindset.
-   Strong communication skills in English, French is a plus.

**Nice to have:**

-   One of the following or an equivalent: AWS Certified Machine Learning – Specialty, Microsoft Azure AI Engineer Associate, or SAS Certified Professional AI and Machine Learning.