Machine Learning Engineer - Remote - Colombia

The Position: We're looking to hire a Machine Learning Engineer to join our team. You'll work with our incredible clients in one of two ways: Team Augmentation: You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis. Design & Build: You will work on a FullStack Labs product team to build and deliver a product to our clients. What We're Looking For: 4+ years of experience in designing and implementing machine learning algorithms. Advanced English is required. Successful completion of a four-year college degree is required. Meaningful experience working with Python. Meaningful experience working with GCP. Experience in setting up and managing CI/CD pipelines. Experience working with Jenkins. Experience working with Azure. A positive mindset and a can-do attitude. Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon. Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them. Benefits: Competitive Salary. Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays). 100% remote work. The ability to work with leading startups and Fortune 500 companies. Health policy with Sura 100% for you and up to 4 primary family members. English Classes. Sodexo food card. Virtual company events each month. Ample opportunity for career advancement. Continuing education opportunities. FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form, which can be provided upon request during our hiring and interview process. Learn more about our Applicants Privacy Notice . #J-18808-Ljbffr