Remote Senior Machine Learning Engineer

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Description:

  • Workana is the largest remote work platform for talents in Latin America, focusing on matching exceptional professionals with leading companies globally.
  • The new segment, Workana Premium, offers competitive compensation, dedicated support, and the flexibility of remote work in a dynamic environment.
  • The client aims to empower consumers to leverage their data for modern financial services, allowing access to savings tools and rewards without hidden fees.
  • The role involves enhancing the development of a machine learning platform that enables data scientists and engineers to build and deploy machine learning solutions at scale.
  • Responsibilities include contributing to the machine learning platform, defining best practices for service development, designing CI/CD pipelines, collaborating with cross-functional teams, and contributing to the engineering roadmap.

Requirements:

  • Candidates must have strong expertise in developing and deploying offline and online machine learning services in production.
  • A solid understanding of machine learning software and infrastructure development is required.
  • Proficiency in Python is essential.
  • Experience with cloud computing services, preferably GCP, is necessary.
  • Strong SQL skills are required.
  • Familiarity with version control and peer code review systems is important.
  • Candidates should demonstrate the ability to learn and embrace new technologies and approaches.
  • A willingness to take on multiple roles within the data science team is expected.
  • Strong written and verbal communication skills are necessary, with the ability to explain technical topics to both technical and non-technical audiences.

Benefits:

  • Compensation will be provided in USD.
  • The position offers fully remote work.
  • The project is challenging and is one of the first of its kind in the region.
  • There are opportunities for growth and learning within the role.
Apply now
Please, let Workana Premium know you found this job on RemoteYeah . This helps us grow 🌱.
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