Position Details
About this role
This role involves designing and building end-to-end machine learning solutions to power personalized experiences, focusing on model training, deployment, and optimization within a SaaS environment.
Key Responsibilities
- Design ML use cases
- Build and own ML pipelines
- Deploy models to production
- Collaborate with product teams
- Optimize AI solutions
Technical Overview
The technical environment includes Python, SQL, TensorFlow, Keras, scikit-learn, XGBoost, CatBoost, and AI deployment tools, with a focus on automation and scalable ML pipelines.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in machine learning, proficient in Python and SQL, with a strong background in deploying AI models and working with large datasets.
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 machine learning deployment, No proficiency in Python or SQL, No experience with AI tools like TensorFlow or Keras, Unwillingness to work onsite in Bucharest
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