Principal AI/ML Engineer - AdTech

Posted 2 months agoViewed
300000 - 400000 USD per year
United StatesFull-TimeAdTech
Company:Zeta Global
Location:United States
Languages:English
Seniority level:Principal, 10+ years
Experience:10+ years
Skills:
AWSBackend DevelopmentDockerLeadershipPythonSQLApache HadoopArtificial IntelligenceCloud ComputingDynamoDBJavaKafkaKubernetesMachine LearningPyTorchAlgorithmsCassandraData engineeringData scienceGoRedisNosqlTensorflowRESTful APIsMicroservicesMentoringSoftware Engineering
Requirements:
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).
Responsibilities:
Lead the design and implementation of scalable, high-performance, and resilient ML solutions for AdTech. Architect and evolve the end-to-end machine learning pipeline for real-time bidding, targeting, and optimization algorithms. Define the technical roadmap and vision for AI/ML in the platform, evaluating new tools and techniques. Develop intelligent systems using AI agents and LLMs to automate and optimize campaign processes. Partner with engineering, product, and data science teams to translate marketing objectives into ML-driven solutions. Ensure system robustness and stability for ML services in a high-concurrency, low-latency environment. Provide technical guidance and mentorship to other engineers and data scientists.
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