Senior AI Research Engineer
5 hours ago
INLECOM
INLECOM is a European innovation company with offices in Athens (GR), Brussels (BE), London (UK), and Ireland (IE). Our Athens Lab leads the design and development of cutting-edge digital transformation solutions, combining research excellence with real-world impact. We collaborate with leading organisations and research institutions across Europe to deliver advanced AI-driven technologies and contribute to the next generation of intelligent systems.
ROLE
A
Senior AI Research Engineer
is sought with expertise in technical EU projects implementation and proposal writing (HORIZON Europe, Cascading Funding Tenders, etc.). The successful candidate will be part of the R&D team and will be based at the Athens Lab Offices (Kifissia), and will participate in exciting collaboration projects in the field of modern technologies.
RESPONSIBILITIES
- Drive end-to-end AI/ML software projects from concept to implementation and integration.
- Design and implement prototypes using state-of-the-art AI technologies.
- Manage technical implementation tasks of research projects, in collaboration with cross-disciplinary and distributed technical project teams.
- Communicate solutions with stakeholders (other technical partners or end-users) and fine-tune them based on the constraints of the partners and the user needs.
- Produce high-quality and novel technical outputs (i.e. scientific deliverables, research papers, research and innovation proposals) on AI technology while following EU strategic goals (software openness, interoperability, fairness, etc.).
- Show initiative and actively engage with partners, finding effective and resourceful ways to achieve the project's goals using the information available.
QUALIFICATIONS
- MSc, or PhD in Computer Science/Engineering or AI/ML related field.
3 years of hands-on experience in AI/Data Science applications.
- Experience in EU technical project implementation (H2020, Horizon Europe, Cascading Funding).
- Strong, hands-on experience and implementations with the latest AI technologies, e.g. Large Language Models (LLMs), Agentic AI, etc.)
- Deep understanding of predictive modelling concepts, clustering and classification techniques, recommendation and optimisation algorithms.
- Proficiency in Python and ML libraries (e.g Tensorflow, Keras, Scikit-learn, Numpy, Pandas).
- Ability to efficiently search, read, and synthesise AI scientific literature.
- Strong problem-solving and collaboration skills; excellent written and verbal English.
- Able to work both independently and in a team, taking initiative to meet objectives and deadlines.
BENEFITS
- A modern and friendly work environment.
- Opportunity to work with talented people in an international environment.
- Private health insurance.
- Competitive compensation.
If you are interested in this opportunity, please apply through LinkedIn by attaching your resume, with reference to executed projects and relevant experience.
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