Machine Learning Engineer
GeekSoft ConsultingSweden1 day ago
Full-timeInformation Technology
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- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
- Experience with Vertex AI Pipelines / Kubeflow
- Proficient in BigQuery and SQL
- Knowledge of Cloud Composer / Airflow
- Familiarity with IAM, service accounts, and Data Catalog
- Understanding of Infrastructure as Code
- Nice to have: Dataflow and Kubernetes
- Strong expertise in Python OOP, coding best practices, and tools (flake8, mypy, black, SonarQube, pre-commit)
- Advanced knowledge in unit and end-to-end testing with Pytest, fixtures, unittest
- Comfortable with Unix systems and working in Docker environments
- Proficient in shell scripting
- Skilled in PR creation, merge conflict resolution
- Able to design CI/CD pipelines (e.g., GitHub Actions) using best practices
- Deep understanding of Docker
- Advanced knowledge of DBT, ideally with GCP integration
- Expert in SQL
- Strong grasp of data modeling and system design
- Proactive, problem-solving mindset, with ability to quickly learn new technologies
- Effective communication skills with both stakeholders and technical teams
- Enthusiastic about code reviews and continuous feedback
- A challenging, innovating environment.
- Opportunities for learning where needed.
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