Machine Learning Engineer

We are looking for an enthusiastic Machine Learning Engineer able to take ownership of projects and become a driving force within the team. You will join a team of world-class engineers building a comprehensive IoT platform to collect, store, display, and analyze real-time data from connected sensors. The system's back-end uses advanced machine learning techniques to extract appliance-level information. Our platform is in constant evolution and you will help us bring our services to a whole new level.

This role is a great opportunity for anyone looking to work in a progressive environment and be part of a high-performance international team with lots of opportunities to learn and grow all aspects of your technical and non-tech skills.

Responsibilities:

• Design and setup a data pipeline based on AirFlow;
• Evaluate and document machine learning processes;
• Optimize code for deployments to production;
• Oversee the deployment of the models to production;
• Monitoring ML models performance.

Requirements:

• 1+ year Airflow experience;
• 4+ years experience developing software using Python;
• Good knowledge of model serving technologies such as MlFlow and SeldonCore;
• Good knowledge of Python development best practices;
• Knowledge of systems architecture and microservices.

Preferred Experience:

• BA or MS degree in Computer Science, Artificial Intelligence, Machine Learning, or related field;
• Strong background in Machine Learning or Artificial Intelligence;
• Experience with Agile methodologies;
• Continuous Integration/Continuous Deployment a plus.;
• Have worked with international and remote teams.