
Data Analyst and Machine Learning Engineer
14 hours ago
We are seeking highly skilled and motivated professionals to join our team as Software Engineers focused on Data, Workflows, AI/ML, and Analytics Solutions.
The successful candidate will be responsible for collaborating with a distributed team of engineers, designers, and product managers to design, build, and maintain solutions that will be deployed on public and private clouds and local workstations.
This role requires exceptional academic track record, undergraduate degree in a technical subject or alternative chosen path, passion for technology evidenced by personal projects and initiatives, excellent interpersonal skills, curiosity, flexibility, and accountability.
In addition to the required qualifications, experience with machine learning libraries or tools, container technologies (Docker, LXD, Kubernetes, etc.), public clouds (AWS, Azure, Google Cloud), and cloud computing is highly desirable.
- Responsibilities:
- Collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools.
- Work on ETL, data governance, and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions like Apache Trino or ClickHouse.
- Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer.
Benefits
- Distributed work environment with twice-yearly team sprints in person.
- Personal learning and development budget of USD 2000 per year.
- Annual compensation review.
- Recognition rewards.
- Annual holiday leave.
- Maternity and paternity leave.
- Employee Assistance Programme.
- Opportunity to travel to new locations to meet colleagues.
- Priority Pass and travel upgrades for long-haul company events.
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