Responsibilities:
- Design and architect solutions for Machine Learning Model training and Deploying Models.
- Collaborate with cross-functional teams to develop and maintain existing Models.
- Utilize AWS infrastructure to provision and deploy Models and Data pipelines.
- Utilize Python and R to code systems that support ML Models and Mathematical models.
- Utilize SQL to extract data and improve performance in existing queries.
- Define code standards that improve code maintainability and performance.
- Review and refactor code from other Data Scientists.
- Migrate existing codebase to new code standards to ensure maintainability and performance.
- Engage in Agile methodologies to deliver high-quality code and meet project milestones.
- Effectively communicate technical ideas and solutions with the client and internal teams.
- Contribute to the continuous improvement of our development processes.
Qualifications:
- Strong expertise in Python and R development.
- Experience with SQL and NoSQL databases.
- Knowledge of software architecture patterns.
- Knowledge of Git and DevOps patterns.
- Experience with MLOps Platforms (AWS SageMaker or similar).
- Strong problem-solving skills and attention to detail.
- Ability to manage multiple tasks and prioritize effectively
- Advanced English (above B2);
Nice to have:
- Experience with RDS Aurora PostgreSQL.
- Experience with AWS SageMaker.
- Experience with PostgreSQL and DynamoDB
- Previous exposure to Agile methodologies.
#MidSenior
#LI-RW1
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