Position Details
About this role
This role involves designing and deploying machine learning solutions to enable personalized experiences for clients, focusing on building scalable ML pipelines and models.
Key Responsibilities
- Design ML use cases
- Build and own ML pipeline
- Optimize personalization
- Drive customer success
- Develop AI features
Technical Overview
Environment includes Python, TensorFlow, Keras, scikit-learn, XGBoost, SQL, with a focus on end-to-end ML pipeline development and deployment.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in designing and deploying machine learning solutions, proficient in Python and ML libraries, with a strong understanding of end-to-end ML pipelines.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or ML libraries, No experience with ML pipelines, Unwillingness to work onsite in Bucharest
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