Welcome to RemoteYeah 2.0! Find out more about the new version here.

Remote Machine Learning Engineer

at CloudWalk

Posted 14 hours ago 3 applied

Description:

  • As a Machine Learning Engineer, your mission is to design and deploy intelligent systems that power core product experiences.
  • You will transform rich data into models that drive automation, personalization, and smart decision-making at scale.
  • This role blends engineering and applied science, focused on building robust, adaptive ML systems that evolve continuously and make a tangible impact.
  • You will join the AI team, focused on ambitious, high-impact projects beyond day-to-day urgencies.
  • You will work across a spectrum of machine learning solutions, from traditional ML models to agentic systems.
  • Collaboration is key, as you will work closely with a distributed, cross-functional team of Engineers, Data Scientists, and Analysts in a culture that values open discussion, intellectual honesty, and creative problem-solving.
  • You will experiment with emerging techniques and architectures to push the boundaries of real-world AI capabilities.
  • Working remotely, autonomy is essential, but so is communication and a shared commitment to building meaningful, intelligent systems.
  • The ideal candidate will have the curiosity of a researcher, the mindset of a builder, and the maturity to own both problems and outcomes.

Requirements:

  • You must have the initiative to learn, investigate, and experiment.
  • You should be able to communicate and debate in both English and Portuguese.
  • Excellent problem-solving and communication skills are required.
  • Strong programming skills in Python and experience with common data science libraries (e.g., pandas, scikit-learn) are necessary.
  • You need experience in building and deploying REST APIs using frameworks like Flask, FastAPI, or Django.
  • Experience with containerization technologies like Docker and orchestration tools like Kubernetes is required.
  • A solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD, is essential.
  • You should have experience with cloud platforms such as AWS or Google Cloud.

Benefits:

  • You will have the opportunity to work with a multidisciplinary team that values exploration and curiosity.
  • The role offers the chance to work on diverse projects, including Credit Models, LLMs agents, and more.
  • You will be part of an AI-first fintech company that is focused on bringing justice to the payment system in Brazil.
  • The company promotes a welcoming work environment that values diversity and inclusion, allowing each employee to be authentic.
  • You will have access to the latest technologies and best practices in machine learning and MLOps.