EXUS AI Labs, the R&D department of EXUS, is where we design and develop robust and trustworthy AI solutions that allow us to leverage the untapped potential of big data analytics across multiple verticals. For more than 25 years, EXUS has gained substantial experience in managing research activities, from the ideation to the realization phase, taking advantage of a highly professional and diverse team. Currently, EXUS AI Labs coordinates and participates in projects which have received funding under the H2020 Research and Innovation Programme, as well as national funding schemes such as Innovate UK.

Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world.

This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision.

Our shared Values:

We are transparent and direct
We are positive and fun, never cynical or sarcastic
We are eager to learn and explore
We put the greater good first
We are frugal and we do not waste resources
We are fanatically disciplined, we deliver on our promises

We are EXUS! Are you?

Right now, we have a vacancy for an R&D - Machine Learning /ML Engineer (Mid) . This is a fully remote opportunity. You will join a multidisciplinary team of Engineers, Data Scientists, and innovation management Experts that excel in driving innovation in software engineering, A.I., and data analytics, to foster advances in key sectors such as banking, security, health, finance, creativity, and lifelong learning.

Our department is working on numerous large-scale Research and Innovation Projects in various sectors such as Security (Physical and Digital), Health, and Creativity. Our core competence is around A.I., data analytics, real-time systems engineering, complex event processing, and large-scale cloud implementations.

Your main duties will be:

AI solution definition & architecture design (technical requirements definition, data requirements definition)
Applying Machine Learning algorithms and techniques, building and maintaining end-to-end solutions
Statistical analysis and fine-tuning using test results
Collaboration with data scientists and software engineers to build and maintain data and model pipelines
Providing solutions to any technical issues regarding AI during a project's lifecycle

Requirements

BSc degree in Computer Science, Mathematics, or a similar field. An MSc degree will be highly appreciated
Proven working experience, 3 to 5 years, on application development project(s)
Good knowledge of mathematics, probability, statistics, and computational algorithms
Good understanding of data structures and data modeling
Expertise in data analysis and visualization
Proven experience in Python
Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, pandas, scikit-learn)
Good knowledge of Git
Experience with REST-API design and implementation

Preferred Skills

Familiarisation with application containers (Docker)
Familiarization with event-driven processes
Working experience in Research / H2020 Projects, will be highly appreciated

General Skills:

Excellent knowledge of the English language (both verbal & written)
Strong problem-solving skills and analytical thinking
Team player, self-motivated, constantly seeking new knowledge

Ability to travel (up to 5% of total working time, in European destinations) / Fulfilled military obligations for male candidates

Benefits

At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success.

Fully remote work setup
Competitive salary
Inclusive work environment & Well-being Program
A clear induction program & a mentoring buddy to help you
Private health insurance
Unlimited time off

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R&D - Machine Learning Engineer (Fully Remote Across Greece)

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