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Senior Python/Machine Learning Developer - Remote - Latin America

Fully Remote

Added
23 days ago
Type
Full-time
Salary
Not Specified

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The Position:

We're looking to hire a Senior Python/Machine Learning Developer 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:

  • 6+ years of professional software development experience.
  • Proven experience working with Python.
  • Proven experience working with Machine Learning.
  • Proven experience working with Azure.
  • Proven experience working with SQL.
  • Proficiency with Spark or PySpark, NoSQL.
  • Proficiency with SOA architecture (ideally microservices) and serverless focus on cloud-based SaaS application development.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • 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.
  • Ability to consistently work 40 hours per week.
  • What We Offer:

  • Competitive pay in your local currency.
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • English Classes.
  • Virtual company events each month.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.
  • Depending on your location other benefits may apply.
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