Senior Machine Learning Engineer

Reposted 10 Days Ago
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Hiring Remotely in Brazil
Remote
5-5 Annually
Senior level
Mobile • Software
The Role
The Machine Learning Engineer will develop distributed ML systems, collaborate on model deployment, optimize feature extraction, and enhance ML capabilities.
Summary Generated by Built In

We are looking for a Senior Machine Learning Engineer to work closely with the ML Architect to develop on ML frameworks (TensorFlow, Scikit-Learn, Pytorch), experimentation platform and tools.

This role has the responsabilities to:

  • Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
  • Collaborating with cross-functional teams to help deploy/integrate machine learning models.
  • Liaise with the BUs for their ML needs and work on the cross-BU ML portfolio.
  • Optimize feature extraction, transformation and selection.
  • Work with and manage.
  • Feature Stores for reusability across ML pipelines.
  • Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
  • Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities

Requirements
    • 5+ years of experience as a Machine Learning Engineer.
    • Strong experience with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting.
    • Skilled in building predictive models (e.g. churn, user journey, sales forecasting) using behavioral data.
    • Proficient with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
    • Experienced in model training, versioning, and monitoring.
    • Solid background in MLOps practices: CI/CD, Docker, Kubernetes, Airflow, SageMaker, MLflow, model observability tools, and feature stores.
    • Business-oriented mindset: ability to connect model outcomes to product and strategic goals

BenefitsBeing a "Minder" in Brazil

We value commitment, feedback, and empathy. To support your journey, we offer:

  • Work Your Way: Flexibility to choose where you work from (Remote-first culture).
  • Growth Mindset: Free English lessons and continuous training/learning opportunities.
  • Well-being First: Access to counseling and psychotherapy services, and incentives in sports competitions, because your mind matters.
  • Shared Success: Annual profit distribution (subject to company performance and board decision - only for CLT contracts).
  • The Fun Stuff: Gatherings and annual trip to bond with the team.
  • Culture of Trust: A collaborative, lean, and self-managed environment where you have the autonomy to make an impact.
Find Us Around the Globe

While you'll be part of our Blumenau hub in Brazil, you’re joining a global family with offices in Australia | India | Morocco | Portugal | Romania | Spain | UK | USA | Vietnam.

Ready to be part of our journey? Check out our [Blog] and our [Handbook]!

Let’s build something amazing together!

Skills Required

  • 5+ years of experience as a Machine Learning Engineer
  • Strong experience with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting
  • Skilled in building predictive models using behavioral data
  • Proficient with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn
  • Experienced in model training, versioning, and monitoring
  • Solid background in MLOps practices: CI/CD, Docker, Kubernetes, Airflow, SageMaker, MLflow
  • Business-oriented mindset: ability to connect model outcomes to product and strategic goals
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The Company
HQ: San Diego, CA
490 Employees
Year Founded: 2014

What We Do

At Mindera we craft software with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. You get to work with a bunch of great people, where the whole team owns the project together. Our culture reflects our lean and self-organization attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We partner with our clients, to understand their product and deliver high performance, resilient and scalable software systems that create an impact in their users and businesses across the world Our offices are located in: Portugal | UK | USA | India | Romania | Brazil

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