Senior Machine Learning Engineer
Buenos Aires, Argentina
hace 5 días

What you’ll do :

Develop, document, test software and setup environment to ensure that the outcome meets the needs of end-users and achieves business goals from both the backend and frontend.

Work with the data science team to deploy, validate, monitor and improve the model performance as required and provide the data engineering support

Recommend adjustments to resolve software issues, improve the functionality of existing software, and ensure that the design, application, and maintenance of software meets the quality standards

Design standardized approaches that reduce time to development and go-to-market

Prioritize, plan and deliver projects to create business impact while setting a high bar for scientific rigor

Always take all software best practices into consideration. E.g. infrastructure cost, security, scalability, feature extensibility, ease of maintenance, etc.

Up to date on new technologies and software development practices

Regularly attend team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues.


We’re looking for strong, impactful work experience, which typically includes :

Applied experience with Python & Shell scripting (Java as second option)

Applied experience with AWS (EMR, EC2, Lambda, S3, Cloudwatch, CLI, SNS, SQS, Sagemaker)

Knowledge of : Elasticsearch, ElastiCache, Glue, DynamoDB, Athena, Redshift, Kinesis, Kafka, Spark and Jenkins.

Got what it takes? We’d love to hear from you!

Additional Information


  • Access to Prepaid Medical Plan
  • Flexible schedules
  • Flexible WFH Policy
  • 14 business days of vacation
  • Free week at the end of the year
  • English lessons
  • Discounts on courses, trainings and universities
  • Access E-Learning platforms
  • Certification programs
  • Level up program
  • Digitas is an equal opportunity employer.

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