Unity Senior ML Engineer 

Israel, Tel-Aviv District, Tel-Aviv 

50522746

• As a key member of our AI team, you will:
• Design Scalable Architecture - Architect, implement, and optimize robust ML pipelines that handle massive datasets with elegance and efficiency, from collection through preprocessing to production deployment
• Pioneer Technical Solutions - Apply state-of-the-art machine learning technologies to solve complex challenges while maintaining the agility to incorporate emerging innovations
• Drive Cross-Functional Excellence - Collaborate strategically with data scientists, software engineers, architects, and product leaders to transform advanced ML solutions into production-ready systems

• Expert-level proficiency in Python, Java/Scala with demonstrable production experience
• Advanced knowledge of streaming technologies such as Kafka or Kinesis
• Mastery of big data processing frameworks including Apache Spark, Trino, Ray, or Dask Comprehensive experience with Data Lake management, including table formats (Iceberg, Delta, Hudi) and data warehouses (Redshift, BigQuery, Snowflake)
• Proven expertise in workflow management systems (Airflow, Kubeflow, Argo)
• Strong understanding of microservices architecture and event-driven design
• Proven experience with huge volumes of data in production environments.

• Cloud platform expertise across AWS, Google Cloud, or Azure, with containerization experience (Docker, Kubernetes)
• Hands-on experience with ML frameworks including TensorFlow, PyTorch, and Scikit-Learn
• MLOps proficiency including model registry management, experiment tracking (MLFlow, W&B), feature store management (Feast, Tecton), and serving platforms (Seldon Core, KServe, Ray Serve, SageMaker)
• Experience with Vector Databases and Generative AI/Large Language Models
• Basic knowledge of ML algorithms and data analysis techniques

• Relocation support is not available for this position.
• Work visa/immigration sponsorship is not available for this position

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.