Moovit Machine Learning/AI Engineer 

Israel, Center District 

927153172

About the job

Responsibilities:

• Software Engineering: Design, develop and implement data pipelines infrastructure, work closely with group members and peers
• Machine Learning: Design, develop, and implement MLOps, predictive models infra, for various of machine learning techniques to address complex business problems.
• Data Science Group focal point for aspects of code review, code quality, unit testing, E2E testing, ML models monitoring, maintainability and scalability
• Collaboration: Work closely with cross-functional teams including Devops, Back End, and Mobile teams to define project goals and deliver data-science projects into production.
• Stay updated with the latest research and advancements in MLOps, machine learning and AI.
• Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.

Requirements

• Professional experience in Backend / ML Engineering in a tech company that involves working with researchers.
• Experience with Machine Learning: Proven track record in productization of ML models
• Expertise in Recommendation Systems and Personalization: Deep understanding of algorithms and technologies that optimize user experiences - advantage
• Proficiency in Python: Strong coding skills with a focus on writing efficient and scalable ML code
• Production Experience: Demonstrated ability to deploy ML models in production, ensuring reliability, scalability, and real-time processing
• Technologies: In particular AWS, Airflow and Software container technology - Docker, Kubernetes
• B.Sc/M.Sc, or equivalent experience in a scientific field - Computer Science, Mathematics, Engineering, Data Science
• Initiator and Promoter: Self-starter who actively proposes new ideas and promotes innovative solutions
• Learner: Passion for continuous learning, staying updated on the latest SW and ML trends, tools, and research
• Flexible Mindset: Adaptability in approaching problems and adjusting models or strategies as needed