Experienced Machine Learning Engineer
Are you a technically curious Machine learning Engineer? If you want to work with high-purpose software solutions, this is a chance to join a first movers’ company that combine software, machine learning and neuroscience to prevent gambling addiction.
Mindway AI - software for detection of problem gambling
At Mindway AI, we specialize in artificial intelligence software that helps identify and prevent problem gambling. Gambling addiction is a widespread, global challenge and our software solutions, GameScanner and Gamalyze, support gambling operators across the world in detecting patterns and assessing gambling problems among their users – and ultimately prevent them from developing gambling addiction.
Today, we are a team of 9 colleagues engaged in software development, machine learning, mathematical modelling, data analysis, product innovation, sales and marketing. We have received a series of industry awards, most recently the ‘RegTech Provider of the Year 2021’ and ‘Responsible Gambling Service or Solution Provider of the Year 2021’ awards. Our solutions are operational in many European countries as well as the US.
To continue our growth and improve our products, we are looking for a self-motivating and innovative machine learning engineer who wants to work with a range of assignments related to data, machine learning and software engineering. If you are looking for a key role in an innovative company, this could be your next career step.
Mindway AI is part of the Better Collective Group.
The position as Experienced Machine Learning Engineer
As Machine Learning Engineer you will join our existing team of Machine Learning Engineers. Your work will include improving on our existing models for early detection of problematic gambling behaviour and optimizing our machine learning pipelines. You will take part in both designing, implementing, and delivering our software. As we are a very agile, fast growing company, you will get a broad set of responsibilities. The ability to adapt and take in new information is your most important skill.
Your tasks will include:
- Working with our clients and establishing data pipelines to get maximal utility from our software.
- Working with complex and large time-series data and improving our utilization of the data.
- Running machine learning experiments, building new and improving on existing machine learning models.
- Packaging machine learning models and writing resilient and scalable software.
- Participating in and contributing to design ideas, innovation, code reviews and most importantly objective and constructive discussions.
- Optimizing our machine learning workflow.
Experience with the following is a requirement:
- Machine learning including model training and validation
- Data pre-processing
- Relational databases, data structures and data modelling
Experience with the following is an advantage:
- Time series data and analysis
- Software development
- Microservices and Docker
On the personal side, we imagine that you are self-motivating, and like academic and professional brainstorming with your colleagues as a means of decision making. You picture yourself in a smaller but fast growing team with influence upon both assignments and technologies and enjoy high levels of both responsibilities and freedom. Good communication skills and fluency in English are required as we are an internationally minded company.
Professionally, we expect you to have at least a few years of experience with machine learning related assignments, and to be curious and passionate about the ML space. Ideally, you have previously been writing production-grade machine learning code and run a machine learning based service in production. It is also an advantage if you know your way around math, probability and statistics.
We appreciate a sound theoretical foundation, but your educational background is not important to us; it is your personality, attitude, and skills that we prioritise.
What we offer
A meaningful job with a high purpose; there are real people behind the data we collect, whose lives can be improved from the insight we provide. Influence, responsibility and partaking in a unique field where software, psychology and AI go hand in hand.
Competitive salary packaging based on your experience and qualifications, lunch and an informal work environment with positive energy. A choice of equipment and a workspace centrally located in Aarhus C. We offer a flexible balance between working at the office and from home.