ML DATA SCIENTIST
Indexed description
This role focuses on developing scalable ML models, collaborating with cross-functional teams, and supporting data-driven decision-making.
Time zone: US Time zones between PST and EST.
Requirements
- 2+ years of experience building and maintaining production machine learning models.
- Strong knowledge of Python.
- Experience with AWS SageMaker or another enterprise ML platform (e.g., Vertex AI or Azure ML) supporting production ML pipelines.
- Experience deploying and monitoring ML models in production (not only notebook-based development).
- Advanced knowledge of SQL.
- Knowledge of Git/version control.
- Experience working independently in production environments.
- Experience with MLOps tools (MLflow, Airflow, dbt, or similar).
- Familiarity with Snowflake.
- Familiarity with marketing, growth, experimentation, or causal inference. Experience with LLMs or AI agents.
- Understanding of Agile development practices.
- Experience building scalable ML solutions in enterprise environments. Familiarity with cloud-based ML platforms and production deployment best practices.
- Strong communication skills and ability to work with cross-functional teams.
- Develop, deploy, and maintain production machine learning models. Perform exploratory data analysis and feature engineering.
- Build and improve data pipelines that support ML workflows.
- Collaborate with engineering and business stakeholders to deliver scalable ML solutions.
- Contribute to AI/LLM-based capabilities where applicable.
- US and EU projects based on advanced technologies.
- Competitive compensation based on skills and experience.
- Regular performance appraisals to support your growth.
- Comprehensive private medical insurance.
- Christmas Bonus in the amount of 50% of the monthly payment.
- Bonuses for recommendations of new employees.
- Bonuses for article writing, public talks, other activities.
- 15 vacation days, 10 holidays, 10 sick leaves.
- Personalized learning program tailored to your interests and skill development.
- Free tech webinars and meetups organized by Svitla.
- Fun corporate online\offline celebrations and activities.
- Well-established remote culture.
- Awesome team, friendly and supportive community!
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