Not specified; not specified; comprehensive health...
Fully remote
Hands-on experience building complex data pipelines
Experience with apache spark
Proficiency in ml frameworks like sklearn and mlflow
The role involves streamlining the process of taking machine learning models to production while maintaining and monitoring them alongside data scientists
Job Summary
The role involves streamlining the process of taking machine learning models to production while maintaining and monitoring them alongside data scientists.
Candidates will participate in designing models, data pre-processing, performance tuning, and developing features within a globally distributed team.
ING Hubs Turkiye offers comprehensive benefits including 14 days of welcome leave, private pension plans, and opportunities for global exposure.
Matching Summary
The role involves streamlining the process of taking machine learning models to production while maintaining and monitoring them alongside data scientists.
Salary
Not specified; Not specified; Comprehensive health insurance and private pension plan included
Skills & Requirements
Must-have
Hands-on experience building complex data pipelines
Experience with Apache Spark
Proficiency in ML frameworks like sklearn and MLFlow
Knowledge of software engineering best practices
Nice-to-have
Curious mindset and collaborative approach
Knowledge of MLOps architecture and practices
Experience with monitoring and observability tools
Familiarity with Docker, Openshift, and CI/CD
Understanding of various data storage systems
Key Requirements
Bachelor's degree or equivalent practical experience
Excellent communication skills for remote collaboration