Gympass is hiring a
Senior Machine Learning Engineer in Brazil

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Senior Machine Learning Engineer
🏢 Gympass
💵 ~$150k-$200k
📍Brazil
📅 Posted on Jun 30, 2024

Summary

The job description is for a Senior Machine Learning Engineer position at Wellhub's Data Solutions team in Brazil. The role involves developing and maintaining a scalable platform for machine learning models, designing data architectures, and ensuring engineering best practices. The candidate should have proficiency in programming languages, experience with MLOps tools, and understanding of Machine/Deep Learning principles and frameworks.

Requirements

  • Proficient in at least one programming language (e.g. Java, Python, Scala)
  • Collaborate with different teams to understand needs and develop effective Data solutions
  • Demonstrated experience in building and maintaining MLOps tools and pipelines for model development, deployment, and automation
  • Understanding of Machine and Deep Learning principles and frameworks (e.g. TensorFlow, PyTorch, sci-kit learn)
  • Understanding of data engineering and architecture principles and technologies (e.g. Apache Spark, Hadoop, Apache Flink)

Responsibilities

  • Develop and maintain a scalable platform to streamline the development, deployment and management of machine/deep learning models
  • Design and implement data architectures and pipelines to solve complex business challenges

Benefits

  • Health, dental, and life insurance
  • Flexible work: Choose when and where you work
  • Flexible schedule: Wellhubbers and their leaders can make the best decisions for their scope, including flexibility to adjust working hours based on personal schedule, time zone, and business needs
  • Wellhub: Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more
  • Paid time off: Vacations after 6 months and 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + extra day off for your birthday
  • Paid parental leave: 100% paid parental leave to all new parents and extended maternity leave
  • Career growth: Outstanding opportunities for personal and career growth
  • Culture: An exciting and supportive atmosphere with ambitious people from around the world!
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