Remote Senior Machine Learning Engineer

Description:

• Wellhub (formerly Gympass) is seeking a Senior Machine Learning Engineer to join their Data Solutions team in Brazil.
• The Data department at Wellhub focuses on data democratization, providing a scalable and reliable Data and ML platform for efficient data processing.
• The role involves developing and maintaining a platform for machine/deep learning models, designing data architectures and pipelines, and ensuring engineering best practices.
• The position emphasizes the importance of wellbeing in the workplace and creating a supportive environment for all employees.

Requirements:

• Must have experience creating robust and scalable Data and Machine Learning architectures and frameworks.
• Proficiency in at least one programming language such as Java, Python, or Scala.
• Ability to collaborate with different teams to develop effective Data solutions.
• Motivated to design, implement, and maintain software solutions within the Data realm.
• Demonstrated experience in building and maintaining MLOps tools and pipelines.
• Understanding of Machine and Deep Learning principles and frameworks like TensorFlow, PyTorch, and sci-kit learn.
• Familiarity with data engineering and architecture principles and technologies such as Apache Spark, Hadoop, and Apache Flink.
• Clear articulation of ideas when speaking to groups in English.

Benefits:

• Wellness: Health, dental, and life insurance coverage.
• Flexible Work: Offers flexible hybrid and full remote work models, with a home office stipend and monthly flexible work allowance.
• Flexible Schedule: Employees have the flexibility to adjust working hours based on personal schedule, time zone, and business needs.
• Wellhub: Access to onsite gyms, fitness studios, digital fitness programs, and online wellness resources.
• Paid Time Off: Generous vacation policy, 3 days off per year, additional days based on tenure, and extra day off for birthdays.
• Paid Parental Leave: 100% paid parental leave for new parents.
• Career Growth: Opportunities for personal and career development.
• Culture: Supportive atmosphere with ambitious colleagues from around the world, fostering a value-based culture of trust, flexibility, and integrity.