Machine Learning (ML) Engineer

Responsibilities:

• Ensure the quality of data used within client's processes by implementing data validation and cleaning techniques.
• Build and maintain a complete Databricks Feature Store, utilizing its full capacity to support thier AI and ML projects.
• Educate colleagues on the functionality, values, and advantages of the Databricks Feature Store.
• Integrate basic datasets into the feature store for use across various projects.
• Equip data scientists with the ability to add new features to the feature store and support their data needs.
• Find ways to implement complex functions into easily accessible features within the feature store.
• Monitor feature stores, including feature usage, value, and organization into proper domains.
• Set up alerts to notify the team of any issues or problems.

Requirements:

• Excellent understanding of Python (pyspark, pandas, scikit-learn, ..).
• Knowledge of Machine Learning processes and techniques.
• Experience with Databricks and Spark is a great advantage.
• Self-driven and knowledge-hungry professional with commitment to personal growth.
• Proven experience in data engineering, data validation, and data management.
• Strong communication and collaboration skills.
• Professional working proficiency in Czech/Slovak + English

The offer:

• Competitive salary and benefits package.
• IČO contract for an indefinite period or employement contract.
• 5 weeks of paid holidays, with 1 extra day for each year of cooperation.
• Opportunity to work with cutting-edge technologies in the AI and Machine Learning industry.
• A supportive and growth-oriented work environment.
• Professional development in the form of internal and external training.
• The chance to make a meaningful impact on the future of technology.

Looking forward to your replies. :-)