Requirements
• Understanding and familiarity with various Machine Learning algorithms,
• Supervised and unsupervised learning methods,
• Familiarity and/or expertise in deep learning applications, such as in Computer Vision or Natural Language Processing may be an asset,
• Experience or strong interest to deploy end-to-end machine learning pipelines and services to production,
• A proven problem solver who loves to learn and apply the latest technologies,
• Strong interest and drive to research, brainstorm, and develop new ideas for existing and future services that will be deployed to production,
• A self-starter passionate about building things from the ground up,
• The ability to formulate a plan and execute it with minimum supervision,
• A BS degree or higher in data science, computer science, engineering or other STEM field, or a comparable combination of education, training, and experience,
• 2+ years of previous experience in a B2B software or technology organization,
• Experience with Machine Learning frameworks like Tensorflow or Pytorch,
• Experience in C++, Python and/or other programming languages,
• Experience with Relational and NoSQL Databases,
• Experience with version control and related tools (Git, Github, Gitlab, etc.),
• Familiarity with AWS services
What the job involves
• In your role as Intermediate Machine Learning Engineer, you are responsible for developing and applying Machine Learning methods for the purposes of Identity Verification with a focus on Person and Business Fraud and Risk, as well as other innovations to support Product initiatives,
• You play a key role in identifying and implementing novel Machine Learning applications that best leverage the available resources to affect industry-leading performance,
• In collaboration with the engineering team, you are responsible for the successful implementation and integration of Machine Learning solutions in Trulioo's products within a modern production environment,
• Researching cutting edge Machine Learning techniques and their applications to challenges in Identity Verification and Risks related to Identity,
• Identify opportunities for Machine Learning applications within Trulioo’s existing and new Products,
• Collaborating with the Engineering team on implementing Machine Learning solutions in production environments,
• Analyze and pre-process data
