Join our dynamic team working on a cutting-edge advertising platform that reaches millions of users globally. As a Machine Learning Engineer, youll contribute to the design and development of scalable, high-performance ML pipelines and infrastructure. You''ll collaborate with top-tier engineers and researchers to bring real-world impact through applied AI at scale.
Join our dynamic team working on a cutting-edge advertising platform that reaches millions of users globally. As a Machine Learning Engineer, youll contribute to the design and development of scalable, high-performance ML pipelines and infrastructure. You''ll collaborate with top-tier engineers and researchers to bring real-world impact through applied AI at scale.
,[Develop and maintain scalable, low-latency ML pipelines and platforms, Build and optimize models using real-time and batch processing for billions of predictions daily, Collaborate with Data Scientists and MLOps teams on model lifecycle from training to deployment and monitoring, Create proof-of-concept prototypes, experiment with new platforms, and support continuous integration and delivery, Streamline testing (unit, integration, stress), versioning, and automation of ML solutions, Research and apply the latest technologies in ML infrastructure, If you''re experienced you''ll also get a chance to lead projects and mentor others] Requirements: Machine learning, Python, pandas, PyTorch, scikit-learn, PySpark, Data analysis, Git, SQL, Snowflake, TensorFlow, AWS, Airflow, Redis, Aerospike Database, MLOps, Docker, Kubernetes, Terraform, GitHub, Prometheus, Grafana Tools: Agile, Scrum. Additionally: Sport subscription, Private healthcare, International projects.