Machine Learning Engineer (Mid)

We are an international enterprise software company with the vision to transform the industry making it simple, accessible and exciting. From our headquarters in London and our R&D center in Athens, we currently support organizations in 26 countries across the EMEA region.

Right now, we have a vacancy for our EXUS Artificial Intelligence Labs department. This is a fully remote job opportunity.

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

The Role

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.

Your main duties will be:

• Projects' Design & Implementation, applying Machine Learning algorithms and techniques.
• Create algorithms based on statistical modelling procedures, build and maintain end-to-end scalable machine learning solutions for AI prototypes and products.
• Collaborate with data engineers and software engineers to build and maintain data and model pipelines.

Requirements

• BSc in Computer Science, Mathematics or similar field. MSc degree will be highly appreciated
• Three years of relevant working or academic experience (even as a part of academic research or PhD studies)
• Previous working experience in Research / H2020 Projects, will be highly appreciated
• Proven experience and competence in software engineering are required
• Good knowledge of math, probability, statistics and computational algorithms
• Good understanding of data structures, data modeling and software architecture
• Expertise in visualizing and manipulating big datasets
• Ability to handle Big Data challenges and difficulties
• Ability to write robust code in Python or Java
• Familiarity with machine learning frameworks (e.g., Keras, PyTorch, Tensorflow etc.) and libraries (e.g., pandas, scikit-learn, etc.).
• Excellent communication skills
• Ability to work in a team

Ability to travel (up to 10% of total working time, in European destinations)

Benefits

• Competitive salary
• Friendly, pleasant and creative working environment
• Remote working
• Constant opportunities to learn New Technologies