Data, ML Engineer

This is a fully remote position, open to applicants in Portugal, +1 more country.

📋 Description

• Design and sustain comprehensive ML pipelines that encompass ETL processes, feature engineering, model training, deployment, serving (both batch and inference APIs), and monitoring.

• Utilize AWS Sagemaker, AWS Glue, AWS Lambda, ML Flow, Spark, Airflow, and the Great Expectations Framework.

• Work in collaboration with data science teams and stakeholders to perpetually enhance ML operations and processes.

• Implement Test-Driven Development (TDD), Domain-Driven Design (DDD), and Agile Scrum methodologies.

• Promote effective collaboration within data science teams.

⛳️ Requirements

• Demonstrated experience in constructing end-to-end ML pipelines, including ETL, feature engineering, model training, deployment, serving, and monitoring.

• Expertise in AWS technologies such as Sagemaker, Glue, and Lambda.

• Practical experience with ML Flow, Spark, and Airflow.

• Strong collaboration and communication skills, particularly in working with data science teams.

• This role is exclusively for candidates located in Portugal or Brazil.

🏝️ Benefits

• Join a collegial environment where responsibilities and authorities are shared equally among colleagues, contributing to our company culture.

• A culture that embraces learning from mistakes rather than criticizing failures.

• An Agile environment that welcomes your ideas.

• Opportunities for growth and exposure to various projects.

• Continuous Training & Mentoring.

• Opportunities for travel.