Mindway AI
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About
Mindway AI develops AI-powered software solutions to identify and prevent problem gambling. Their flagship products, GameScanner and Gamalyze, utilize neuroscience, AI, and expert assessments to detect at-risk gambling behavior. GameScanner boasts an 87% detection rate of problem cases, while Gamalyze offers a gamified self-test. Mindway AI partners with operators and organizations worldwide to improve player protection, operating in 38+ countries and monitoring millions of players monthly. The company originated as a spin-out from Aarhus University and is backed by Better Collective.
Platform
Features
• ai-powered analysis
• expert assessments
• fully automated software
• early detection of problem gambling
• integrates with operator systems
• gamified self-tests
• safer gambling solutions
• neuroscience insights
Job Opportunities
DevOps Engineer
AI-powered software for early detection and prevention of problem gambling, using neuroscience and expert assessments.
Benefits:
Purpose-Driven Work
Diverse Technical Exposure
Work-Life Balance
Career Growth
Competitive Benefits
Education Requirements:
A degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
Experience Requirements:
2+ years of professional experience in DevOps, DevSecOps, or a similar role
Other Requirements:
Knowledge of cloud platforms like AWS, Azure, or Google Cloud, and experience with containerization tools such as Kubernetes and Docker
A solid understanding of security best practices in infrastructure and deployment
Some experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or similar
Responsibilities:
Managing AWS Infrastructure
On-Prem Expertise
Implementing Security Best Practices
Quality Assurance
Monitoring and Optimization
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Senior Software Engineer (Fullstack)
AI-powered software for early detection and prevention of problem gambling, using neuroscience and expert assessments.
Benefits:
Purpose-Driven Work
Diverse Technical Exposure
Work-Life Balance
Competitive Benefits
Education Requirements:
A degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
Experience Requirements:
5+ years of professional experience in fullstack development, with a strong expertise in Python
Other Requirements:
Hands-on experience with high-stakes customer deployments, including both SaaS and on-premises environments
A track record of implementing robust testing practices, including unit tests, integration tests, and CI/CD pipelines
Familiarity with integrating machine learning models and handling large-scale data
Responsibilities:
Building Scalable Systems
Quality Assurance Leadership
Collaboration & Innovation
Adapting to Diversity
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