Software Engineer - Data Science Team

Description

Moon Active is one of the world's fastest-growing mobile game companies, providing entertainment for millions of active users across the Universe. The company is headquartered in the heart of Tel Aviv.

We're seeking a skilled and enthusiastic Software Engineer for Data Science Team. You'll utilize your technical and analytical skills to build infrastructure that delivers machine learning and statistical models to production.

As a Software Engineer for Data Science Team, you will be responsible for implementing the infrastructure, tools and algorithms that deliver ML models developed by Data Scientists and Business Analysts, in a way that is efficient, scalable and maintainable.

Responsibilities

• Develop and maintain infrastructure for continuous integration and delivery of machine learning models.
• Collaborate with data scientists, product managers, software engineers, and other stakeholders to design, develop, deploy machine learning models and pipelines for both batch and real time into production.
• Monitor machine learning models in production to ensure they are performing as expected and take corrective actions as necessary.
• Manage and maintain machine learning environments and libraries.
• Develop and maintain monitoring and logging systems to ensure the reliability and performance of machine learning models.
• Provide technical support and guidance to the data science team in developing and deploying machine learning models.
• Stay at the forefront of machine learning engineering technology.

Requirements

• 2+ years of experience in Python development - MUST!
• Bachelor's degree in Computer Science or related field.
• Knowledge of machine learning frameworks, such as Scikit-learn, XGBoost, TensorFlow, PyTorch.
• 1+ years of experience in Nodejs, and familiarity with microservices development methodology.
• Experience with cloud computing platforms, such as GCP, AWS or Azure.
• Experience with containerization technologies, such as Docker / Kubernetes.
• Familiarity with DevOps practices, such as continuous integration and delivery.
• Strong communication skills and ability to work collaboratively with cross-functional teams.

#LI-Hybrid

Benefits