AI Research Engineer

Sportserve forms part of a remarkable group of B2C sports betting and B2B sportsbook technology companies, focused on delivering first class sports betting experiences and casino products for our users worldwide. Along with Sportion, TechSpirit, Standard Focus and Sportelligent, we are the driving force behind the world renowned sports betting company and our flagship brand, Dafabet.

Since launching our global hiring initiative, we now employ over 2,000 people worldwide, offering exciting career paths in Technology, Trading, Operations and Media. We pride ourselves on having a diverse and international culture that embraces the global community and acts locally. We offer office based, hybrid and remote work on permanent and consultancy contracts all over the world, making us the true global employer of choice.

What you’ll be getting up to:

  • Working across a number of business areas providing development, maintenance and support.
  • Working as part of a team and occasionally solo developments as the business needs arise.
  • Design, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques.
  • Research and implement appropriate ML algorithms and tools.
  • Design machine learning systems.
  • Study and transform data science prototypes.
  • Develop machine learning applications according to requirements.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Perform statistical analysis and fine-tuning using test results.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.
  • Keep abreast of developments in the field.
  • Help identify probable causes and provide immediate solution during an incident.
  • Work within an agile environment following an agile framework.
  • Contribute significant ideas for making the applications better and easier to use.
  • Participate in cutting edge research in artificial intelligence and machine learning applications.
  • Contribute to engineering efforts from planning and organization to execution and delivery to solve complex, real-world engineering problems.

Skills and Experience:

  • Research or Industry experience in Artificial Intelligence, Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning.
  • Understanding of data structures, data modelling and software architecture.
  • Automate & orchestrate ML pipelines.
  • Monitor, optimize, and maintain ML solutions.
  • Experience in Python programming language and frameworks such as Flask, AIOhttp.
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
  • Ability to work in a team.
  • Outstanding analytical and problem-solving skills.
  • Experience in multi-threading, message queues, WebSockets.
  • Must have Experience with Cloud platforms such as Google cloud platform, AWS would be plus.
  • Experience with automation of the development and test processes through CI/CD pipeline (Gitlab, SonarQube, Artifactory, Docker containers).
  • Advanced knowledge of SQL queries.
  • Intermediate knowledge of API development.
  • Proving track record in building high performance, highly available and scalable systems.
  • Proficient in comprehending and critically evaluating the latest research papers within the field and ability to apply that knowledge to solve real-world challenges and contribute to the organization’s goals


  • Bachelor’s degree in Computer Science, or related technical field, or equivalent work experience.
  • 3 – 5 years of relevant work experience.
  • Must Speak and write one of Native language Korean or Japanese.
  • Experience designing and implementing distributed software systems (e.g Python).
  • Research or Industry experience in Artificial Intelligence, Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning.
  • Good oral and written English communication skills
  • Strong grasp of established and emerging technologies, systems, platforms, and software.
  • Ability to organize and manage multiple priorities.
  • Technical curiosity – Willingness to explore and learn new technologies that are unfamiliar.
  • Ability to work in a fast pace delivery oriented environment.
  • Ability to deliver short term results while invest in long term strategic solutions.
  • Self-starter, and Self-motivated and able to learn independently.
  • Team player who is eager to help others to succeed.

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