Machine Learning Engineer
Tasks
- Build ETL/ELT workflows
- Build analytics tools
- Collaborate with data scientists and product teams
- Conduct code reviews and mentoring
- Design data pipelines
- Develop and maintain APIs
- Ensure data quality and quality curation
- Implement event-driven architectures
- Maintain data ingestion and orchestration
- Perform unit testing and mocking
- Set up CI/CD pipelines
- Transform and curate data at scale
Perks/Benefits
- Flexible working hours
- Health insurance
- Home office equipment allowance
- Internal mobility program
- Life insurance
- Pension fund
- Remote-friendly setup
- Wellbeing program
Skills/Tech-stack
AWS Batch | AWS CDK | AWS Glue | AWS IAM | AWS Lambda | AWS S3 | AWS SNS | AWS SQS | AWS Step Functions | Amazon CloudWatch | Amazon DynamoDB | Amazon EventBridge | Apache Spark | CI/CD | Docker | Git | GitHub Actions | Infrastructure as Code | PySpark | Python | Step Functions | Unit Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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