Senior Machine Learning Engineer - Remote

Overview

The Senior Machine Learning Engineer will work on a generative AI platform facilitating the creation of solutions for conversational products, in a dynamic and metrics-oriented environment.

In Short

• Join a cutting-edge team focused on customer platforms.
• Work remotely with flexibility.
• Utilize extensive experience in Python for ML solutions.
• Develop tools for experimentation and productionizing models.
• Engage with MLOps tools such as Databricks and Sagemaker.
• Implement best engineering practices.
• Deploy applications using CI/CD.
• Collaborate with a multidisciplinary team on ML models.
• Experience with LLMs is a plus.
• Knowledge of cloud services like AWS or GCP is beneficial.

Requirements

• Comfortable working remotely.
• Extensive experience in Python applied to ML solutions.
• Experience in developing tools for experimentation and productionizing models.
• Familiarity with MLOps tools like Databricks, Snowflake, or Sagemaker.
• Good software engineering practices.
• Knowledge of CI/CD deployment routines.
• Basic understanding of cloud platforms (AWS, GCP, Azure).
• Experience building APIs with database communication.
• Desire to collaborate in a multidisciplinary team.

Benefits

• Health and dental plan.
• 24/7 digital hospital services.
• Meal and food allowance.
• Remote work setup assistance.
• Flexible working hours.
• Education benefits for self-development.
• Gympass membership.
• Childcare assistance.
• Profit-sharing plan.
• Life insurance.