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Sansaone

Software Developer

Sansaone
Luxembourg · Full-time · Mid-Senior

Position Title: AI/ML Software Developer (2089)

Location: Luxembourg

Duration: long-term (initial 110 working days with possibility of renewal)

Languages: English

Work mode: hybrid (50% onsite and 50% near-site from any EU country)

CV Format: Europass

Kindly note that the position will require an EU security clearance process and a Good conduct certificate to be held before the consultant’s start date.


Job Description:

• Participate in design, development and implementation of AI/ML components of the institution’s systems.

• Integrate AI/ML capabilities into existing software applications and data pipelines.

• Collaborate with data scientists, analysts, and other developers to deliver high-quality software solutions.

• Contribute to code reviews, testing and deployment processes.

• Document software designs, processes, and procedures related to AI/ML development.

• Participate in meetings and provide status reports.

• Provide maintenance and support of developed software solutions.

• Perform any other tasks in the remit of the role, as required by the contracting authority.


Requirements

• A BSc or MSc degree in Computer Science, AI,ML or a related field (or 5 years of higher education, or equivalent in professional experience)

• Over one year of professional experience in Data & AI Software Development (AI/ML) or equivalent.

• Proficiency in Python, including using data science and machine learning libraries such as Pandas, Scikit-learn, Keras, TensorFlow, etc.

• Proficiency in software engineering practices including agile software development, unit testing, source code versioning, and documentation.

• Experience with containerisation (e.g. Docker), cloud computing (e.g. AWS) and working in a Linux environment.

• Knowledge of data science, machine learning, and statistics.

• Experience with relational and/or NoSQL databases.

• Knowledge of data visualisation tools and libraries.

• Experience with containerization using Docker would be a strong asset

• Knowledge of Natural Language Processing (NLP) techniques or Computer Vision techniques and tools would be an advantage

• Strong communication and interpersonal skills.

• Good command of English (level B2 or above).

Key Skills

Ranked by relevance

machine learning docker natural language processing containerization computer vision tensorflow python pandas nosql linux cloud keras aws ai
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Posted
Jul 28, 2025
Type
Full-time
Level
Mid-Senior
Location
Luxembourg
Company
Sansaone

Industries

IT Services IT Consulting

Categories

Information Technology

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