RESPONSIBILITIES:

• Train state-of-the-art models.

• Produce clean and maintainable code.

• Collect data programmatically.

• Pipeline management: From data layer to production deployment.

REQUIREMENTS:

• Degree in Computer Science or similar.

• Knowledgeable in the fields of Machine Learning and statistics:

• Should know basic algorithms: Both recent and older techniques.
• Practical knowledge on how to make models work.

• Experienced programmer.

• Good knowledge of the Python language.

• Has experience handling data:

• Any major document database.
• Any major relational database.
• Different formats: xsl, csv, json, etc.

• Understanding of version control and gitflow.

• Has worked in an agile team before.

• Basic understanding of shell.

• Has worked with major ML libraries: Pandas, Scikit-Learn, Tensorflow, etc.

GOOD TO HAVE:

• Has worked with Docker containers and APIs before.

• Experience with Web Scraping.

• Experience with Microservices Architecture.

START:

• Now or by agreement.