About GeoComply
We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting-edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud.
Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance-grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year.
At the heart of it all is the people, united by a deep commitment to problem-solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down.
Are you an expert in development and deployment of AI-based systems?
Do you want to work in a hyper-growth company and apply you expertise in launching ML/DS systems in life?
If yes, the Senior Machine Learning Engineer is the role for you!
GeoCompy’s Data Science team focuses on improving Anti-fraud system, turning business requirements into DS/ML solutions, developing and deploying best in class ML/DS solutions. As the Senior Machine Learning Engineer, you will contribute to GeoComply's success by ensuring continuous development of full-cycle AI-based Anti-Fraud products: continuous training, model evaluation, deployment, real-time feature stores, automated re-training process, and more. The ideal candidate for this role is a person with solid engineering principles, building and serving models in Cloud-based systems, who is self-sufficient, proactive, and able to work in a dynamic environment. We expect the Senior Machine Learning Engineer to have experience working with CI/CD pipelines, Big data tools, running code refactoring and optimization, containerization, deployment, versioning, and monitoring. You enjoy working in collaborative teams and have excellent interpersonal skills. The Senior Machine Learning Engineer should take responsibility and always see a path forward to success. You should have experience working in short, iterative development cycles and have a great passion for working in fast-paced development process environments.