Sr AI/ML Engineer
Zeta Global5 months ago
Bengaluru, IndiaSenior
Responsibilities
- Design, implement, and ship scalable ML solutions for targeting, ranking, pacing, measurement, and other advertising use cases.
- Own ML features end to end from experimentation through production rollout.
- Build and evolve data preparation, training, evaluation, and real-time inference systems that integrate with ad-serving systems.
- Evaluate AI/ML tools and techniques, including deep learning, LLMs, and retrieval or feature systems, while contributing to the technical roadmap.
- Develop and integrate LLM-powered features and agentic workflows for audience insights, bid and budget recommendations, and creative generation.
- Operate ML services in high-concurrency, latency-sensitive environments and optimize inference paths.
- Implement monitoring and alerting, manage model drift, and support A/B testing, canary releases, and rollbacks.
- Collaborate with engineering, product, and data science teams to translate marketing objectives into ML solutions and define success metrics.
- Mentor engineers through code and model reviews and promote testing, observability, documentation, and reproducible ML workflows.
Requirements
- At least 5 years of software engineering and/or applied machine learning experience, including a track record of shipping ML systems to production.
- Experience designing and building high-throughput, low-latency services or data pipelines for large-scale applications.
- Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
- Hands-on experience with PyTorch or TensorFlow and modeling approaches such as classification, ranking, embeddings, and deep learning.
- Experience with Spark or Kafka for processing and analyzing large datasets.
- Experience deploying machine learning systems to cloud environments, preferably AWS, and operating services at scale.
- Familiarity with SQL/NoSQL data stores such as PostgreSQL, MySQL, Cassandra, DynamoDB, and Redis.
- Familiarity with Docker, Kubernetes, and CI/CD practices.
- Strong communication and cross-disciplinary collaboration skills, including explaining technical concepts to technical and non-technical stakeholders.
- Working knowledge of the programmatic advertising ecosystem, including DSP, SSP, or RTB, is a plus; recommendation, ranking, or marketplace experience is also valued.
- Preferred experience with LLMs and generative AI for advertising applications.
- Preferred experience designing agentic workflows with safety and observability guardrails.
- Preferred experience with model serving and optimization for real-time inference.
- Familiarity with Apache Iceberg or Apache Hudi is preferred.
- Knowledge of microservices architecture and event-driven design patterns is preferred.
- Open-source contributions, publications, or speaking engagements demonstrating AI/ML thought leadership are a plus.
Tech Stack
Amazon DynamoDBApache CassandraApache KafkaApache SparkAWSDockerGoJavaKubernetesMySQLPostgreSQLPythonPyTorchRedisSQLTensorFlow
Categories
About Zeta Global
Zeta Global builds an AI-powered marketing cloud that unifies customer data, analytics, and omnichannel activation for enterprise brands and agencies. Its Zeta Marketing Platform combines martech and adtech—spanning CRM, email, display, and social—to acquire, grow, and retain customers on a subscription and media-buying model. Founded in 2007 and headquartered in New York City, Zeta is a public company trading on the NYSE under the ticker ZETA.