Permanent contract | Belval

Are you passionate about research? So are we! Come and join us

The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.

Do you want to know more about LIST? Check our website: https://www.list.lu/

The AIRA Research Group, part of the Human-centered AI, Data and Software (HANDS) research unit, focuses on assessing and enabling trustworthy AI adoption through methods and tools for compliance, readiness, and performance evaluation.

How will you contribute?

As an AI Engineer, you will contribute to industrial and academic research projects, supporting the development, evaluation, and deployment of Machine Learning models, Large Language Models (LLMs) and AI agents, with a strong focus on their assessment, alignment with regulatory principles, and applied use in real-world contexts.

You will work in collaborative RDI projects funded via national or European instruments or through public-private partnerships.

You’ll also contribute to the AI Sandbox initiative of LIST (ai-sandbox.list.lu).

Main Responsibilities

·        Design, build, and maintain scalable and reliable machine learning infrastructure.

·        Automate and optimize the deployment, monitoring, and scaling of ML models in production environments.

·        Implement CI/CD pipelines for ML models to ensure efficient development and deployment cycles.

·        Develop and maintain model versioning, monitoring, and governance frameworks.

·        Optimize cloud and on-premise resources for cost-effective and high-performance ML operations.

·        Troubleshoot issues related to ML model performance, deployment, and infrastructure.

·        Design, prototype, and validate LLM-based solutions for industrial and applied research use cases.

·        Integrate and deploy Generative AI models, particularly Large Language Models (LLMs), in production environments.

·        Optimize inference performance, latency, and scalability of LLM-based applications.

·        Implement efficient fine-tuning and retrieval-augmented generation (RAG) strategies for LLMs.

·        Contribute to the evaluation and benchmarking of LLMs across multiple criteria (e.g., performance, explainability, factuality robustness, human oversight, fairness).

·        Select and apply methods and tools to assess LLMs against technical, ethical, and regulatory requirements (e.g., AI Act principles).

·        Support project planning, execution, and reporting within collaborative RDI projects.

·        Write technical documentation, research reports, and contribute to scientific dissemination (e.g., conferences, workshops, whitepapers).

·        Participate in the preparation of proposals for national and EU-funded projects.

·        Engage with industrial and academic partners to co-design and deliver demonstrators.

·        Actively contribute to the development and maintenance of evaluation pipelines, toolkits, and reproducible workflows.

·        Participate in knowledge transfer, workshops, and standardization efforts related to AI model assessment and trustworthy AI.

·        Collaborate with data scientists, software engineers, and DevOps teams to streamline AI/ML workflows

Is Your profile described below? Are you our future colleague? Apply now!

Required Qualifications

• Master’s degree (or equivalent) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Minimum 3 years of experience in RDI environments, ideally in AI or ML domains, particularly in MLOps, DevOps, or related roles.

• Solid experience in working with modern LLMs (e.g., GPT, LLaMA, Mistral) and associated libraries (e.g., HuggingFace).

• Knowledge of prompt engineering, agent architectures, or retrieval-augmented generation (RAG).

• Proficient in Python and comfortable with cloud-based or high-performance computing environments.

• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Experience with CI/CD tools such as GitLab CI/CD, Jenkins, or ArgoCD.

• Solid knowledge of infrastructure-as-code tools (Terraform, Ansible, or CloudFormation).

• Demonstrated experience in evaluating or fine-tuning large language models or AI systems.

• Good project management and communication skills.

• Fluent in English, both written and oral.

• Ability to work independently and as part of a multidisciplinary team.

Preferred Skills

• Experience contributing to EU-funded research projects (e.g., Horizon Europe, DIGITAL, DEP).

• Familiarity with AI risk assessment, robustness testing, or adversarial evaluation.

• Familiarity with AI safety, fairness, transparency, or regulatory principles (e.g., trustworthy AI, AI Act, model cards).

• Experience with feature stores and model registries (MLflow, Feast, Kubeflow).

• Knowledge of advanced ML model serving frameworks (TorchServe, TensorFlow Serving, Triton Inference Server).

• Exposure to data engineering tools (Apache Spark, Kafka, Airflow).

• Experience with MLOps, model deployment, or scalable data pipelines.

• Interest or experience in standards, auditing, or certification frameworks for AI.

Your LIST benefits

• An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects

• Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society

• Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do

• An environment encouraging curiosity, innovation and entrepreneurship in all areas

• Personalized learning programme to foster our staff’s soft and technical skills

• Multicultural and international work environment with more than 50 nationalities represented in our workforce

• Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions

• Gender-friendly environment with multiple actions to attract, develop and retain women in science

• 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance

• Flexible working hours, home working policy and access to lunch vouchers

Apply online

Your application must include:

• A motivation letter oriented towards the position and detailing your experience

• A scientific CV with contact details

• Contact details of 2 references

  
  

Please apply ONLINE formally through the HR system. Applications by email will not be considered.

Application procedure and conditions

We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.

LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.

Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.