Machine Learning Engineer - 4640
Brussels (The services shall be performed remotely in Near-site location allowing to reach the Commission premises in Brussels within 2 hours)
Applications have closed
CV Submission until 14.02.2024
VASS, in collaboration with the European Commission's DIGIT.A.4, is seeking a talented Machine Learning Engineer to contribute to the development and maintenance of cutting-edge AI solutions.
As part of the team, you will play a key role in enhancing the quality and functionality of digital reusable solutions for both the Commission and citizens across Member States.
Job Responsibilities:
- Develop and maintain software applications focusing on Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI).
- Train custom machine learning and deep learning models based on structured and unstructured data.
- Select features, build, and optimize classifiers using machine learning techniques.
- Improve the quality of machine translation (MT) engines and contribute to long-term strategies for MT quality enhancement.
- Collaborate with data stewards and IT stakeholders to define data rules and ensure data quality and integrity.
- Design IT architecture for NLP/ML/AI solutions and coordinate its implementation.
- Conduct data architecture analysis for consistency, completeness, and accuracy.
- Write technical documentation and assist with deployment and configuration of systems.
- Participate in meetings with project teams, user groups, and stakeholders.
Job Requirements:
- Master's degree or equivalent (Level 7 of the European Qualification Framework) in a related field.
- Proficiency in Mathematics and Statistics (Linear algebra, Calculus, Probability theory, Optimization techniques, etc.).
- Expertise in Python programming (knowledge of R is a plus).
- Extensive experience with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.
- Hands-on experience with various machine learning algorithms and deep learning techniques.
- Familiarity with data pre-processing, analysis techniques, and data visualization tools.
- Knowledge of RDBMS (e.g., Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
- Understanding of ethical considerations, bias/fairness issues, and data privacy regulations in AI/ML applications.
- Ability to communicate effectively with technical and non-technical stakeholders.
- Proficiency in English (written and oral), knowledge of French is advantageous.
- Capability to work in a multicultural environment and collaborate effectively in team settings.
Working Conditions:
- Remote work (Near-site), occasional travel to Brussels may be required.
- Commission-provided laptop.
- Security screening by the Commission's security directorate (HR.DS) is mandatory.
EU Nationality is a prerequisite for the majority of our job openings. However, for select positions, we may also consider CVs from candidates who hold citizenship in NATO member countries or have the required work permit for the location where the client is based or where the job is to be performed.
WHO ARE WE?
VASS (https://vasscompany.com/en/) is a leading digital solutions group of companies headquartered in Madrid, Spain, present in 26 countries in Europe, the Americas and Asia with more than 4,700 professionals
VASS helps large companies in their digital transformation process, developing and executing the most innovative and scalable projects, from strategy to operations.
All our growth comes from our talented people, passion for innovation, and a constant search for improvement, always the VASS way: “Complex made simple”.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Cassandra Data quality Data visualization Deep Learning Keras Linear algebra Machine Learning Mathematics MongoDB NLP NoSQL Oracle Privacy Probability theory Python PyTorch R RDBMS Scikit-learn Security Statistics TensorFlow Unstructured data
Perks/benefits: Career development Gear
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