10+ years of experience in software engineering or data science, with at least 3-5 years in a principal engineer or lead ML role. Proven experience designing and building high-throughput, low-latency distributed systems or data pipelines. Deep expertise in the programmatic advertising ecosystem (DSPs, RTB, SSPs, ad exchanges). Proficiency in programming languages such as Java, Go, and Python. Hands-on experience with machine learning frameworks and libraries, especially PyTorch or TensorFlow. Strong experience with big data and streaming frameworks (e.g., Apache Spark, Kafka, Hadoop). Expertise with cloud platforms (preferably AWS) and related services. Experience with various data stores, including SQL and NoSQL databases (e.g., MySQL/PostgreSQL, Cassandra, DynamoDB, Redis). Familiarity with containerization and orchestration technologies (Docker, Kubernetes).