R&D - ML Engineer (Mid) / Technical Leader

Posted 10 Days Ago
Be an Early Applicant
2 Locations
Mid level
Financial Services
The Role
Join the R&D department to design and develop AI solutions leveraging big data analytics. Responsibilities include technical project management, defining specifications, applying machine learning techniques, and collaborating with engineers and scientists to maintain data pipelines.
Summary Generated by Built In

Description

, the R&D department of , 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 - ML Engineer (Mid) / Technical Leader. 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:

  • Technical Project Management (project’s effort allocation, task plan, projects' progress overview, participation in calls & meetings).
  • Projects' Technical specification definition & Architecture Design (technical requirements definition, software architecture design, data flows definition)
  • Apply Machine Learning algorithms and techniques, build and maintain end-to-end solutions
  • Statistical analysis and fine-tuning using test results
  • Collaborate with data scientists and software engineers to build and maintain data and model pipelines.
  • Provide solutions to any technical-related issues 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. 
  • Proven experience and competence in software engineering and design. 
  • Good understanding of data structures, data modeling, and software architectures. 
  • 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 
  • Working experience in Research / H2020 Projects, will be highly appreciated 

Preferred Skills

  • Experience in frameworks Django, FLASK or FastAPI
  • Familiar with SQL databases
  • Familiarisation with application containers (Docker) and general exposure to continuous integration processes and practices
  • Familiarization with event-driven processes

General Skills:

  • Excellent understanding 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 10% 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 allowance

Top Skills

Python
The Company
London
330 Employees
On-site Workplace
Year Founded: 1989

What We Do

EXUS’ Financial Suite (EFS) supports organisations worldwide improve their results by providing the best-in-class Debt Collection software. With headquarters in London and presence in more than 40 countries, EXUS Financial Suite (EFS) supports the entire debt lifecycle providing automation of routine processes and tasks and supporting customer interaction through traditional and digital channels. EXUS Financial Suite is a comprehensive suite of software applications, that manages credit risk along the whole lifecycle of accounts, from the moment of disbursement until write-off or debt sale. Credit risk professionals in more than 40 countries in 3 continents trust EFS daily to improve collections performance. EXUS has continuously improved & enhanced EFS. Today, EFS consists of five applications: · EXUS Collections · EXUS Collections Analytics · EXUS Collections Self Service · EXUS Legal Recoveries · EXUS Early Warning System

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