We are seeking an MLOps Engineer for a leading technology and electronics company. The role involves building an advanced advertising ecosystem that integrates millions of smart devices across TV, mobile, and desktop. The goal is to create a machine learning-driven platform for targeted, personalized, and optimized advertising, connecting brands with TV audiences to enhance engagement and conversion rates.

Responsibilities:

• Design and develop scalable ML infrastructure.
• Serve ML models to downstream applications.
• Manage model versions with rollback mechanisms.
• Implement monitoring tools to track platform performance and address issues.
• Develop, test, deploy, and maintain data and model training pipelines.
• Integrate serving infrastructure with other systems

Requirements

• Minimum 6 years of industry experience
• Experience with Infrastructure as Code (Terraform), cloud solutions, and orchestration tools (e.g., AWS, Sagemaker, Airflow)
• Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Unix/Linux, Docker, Kubernetes, TensorFlow, PyTorch)