2 months ago
Bucharest, RomaniaMid Level / Senior
Responsibilities
- Formulate hypotheses, access, clean, and aggregate data, train and interpret models, present results, gather feedback, and deploy models to production.
- Monitor model performance on a daily and weekly basis.
- Develop and deploy solutions on-premises and in the cloud.
- Use GCP for development and production, including GPU-enabled Kubernetes clusters and Docker containers.
- Write Python and PySpark according to internal coding standards.
- Collaborate with machine learning engineers, team leads, product owners, analysts, clients, and data teams.
Requirements
- Experience with data wrangling using SQL and PySpark.
- Experience working with structured and unstructured data.
- Good understanding of machine learning and AI techniques, including boosting and transformers.
- Strong mathematical and statistical background relevant to the stated techniques.
- Ability to write efficient Python code for development and production.
- Experience using a version control system, specifically GitLab.
- Familiarity with Kubernetes, Docker, and Kubeflow Pipelines for MLOps.
Benefits
- Medical subscription through Medicover or Regina Maria.
- Flexible benefits budget covering options such as meal tickets, holiday tickets, cultural vouchers, private pension, language classes, partner services, gym memberships, and professional development classes.
- Discounts from banking, mobile, dental medicine, and wellness partners.
- Access to the Bookster library and free credits on the Hilio psycho-emotional health platform.
- Access to over 100,000 curated online resources, learning academies, and development programs.
- Hybrid work at new headquarters.
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