AdTechTalent
Engineering5 months agoOn-site

Zeta Global

Sr AI/ML Engineer

machine learningMLAILLMdeep learningprogrammatic advertisingadtechPythonJavaGoPyTorchTensorFlowSparkKafkaAWSDockerKubernetesCI/CDdata pipelinesreal-time inferencecampaign optimizationpersonalizationcreative intelligence

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Bengaluru, India

Full job description

Senior AI/ML Engineer role in AdTech team to build and deploy machine learning models and AI-driven features for advertising platform. Responsibilities include designing scalable ML solutions for targeting, ranking, pacing, and measurement; evolving ML lifecycle for data preparation, training, evaluation, and real-time inference; contributing to AI/ML roadmap including deep learning and LLMs; developing LLM-powered features and agentic workflows for campaign operations; collaborating with engineering, product, and data science teams; operating ML services with focus on performance, reliability, and safe deployment; mentoring engineers and promoting best practices. Requires 5+ years experience in software engineering or applied ML with production ML systems, proficiency in Java, Go, or Python, experience with ML frameworks (PyTorch, TensorFlow), big data and streaming frameworks (Spark, Kafka), cloud deployment (preferably AWS), SQL/NoSQL databases, containerization (Docker, Kubernetes), and CI/CD. Knowledge of programmatic advertising ecosystem or related fields is a plus. Preferred experience includes LLMs, generative AI, agentic workflows, real-time inference optimization, modern data lake formats, microservices, and event-driven design.

What you'll do

  • Design, implement, and ship scalable ML solutions for core AdTech use cases
  • Build and evolve ML lifecycle including data preparation, training, evaluation, and real-time inference
  • Contribute to AI/ML technical roadmap evaluating tools and techniques including deep learning and LLMs
  • Develop and integrate LLM-powered features and agentic workflows for campaign operations
  • Collaborate with engineering, product, and data science to translate marketing objectives into ML solutions
  • Operate ML services in high-concurrency, latency-sensitive environments with monitoring and safe deployment
  • Mentor engineers and champion engineering rigor in testing, observability, documentation, and reproducible workflows

Requirements

  • 5+ years of experience in software engineering and/or applied machine learning with production ML systems
  • Experience designing and building high-throughput, low-latency services or data pipelines
  • Working knowledge of programmatic advertising ecosystem (DSP/SSP/RTB) or strong adjacent experience
  • Proficiency in Java, Go, or Python for backend services and ML tooling
  • Hands-on experience with ML frameworks (PyTorch or TensorFlow) and modeling approaches
  • Experience with big data and streaming frameworks (Spark, Kafka)
  • Experience deploying ML to cloud environments (preferably AWS) and operating at scale
  • Familiarity with SQL/NoSQL data stores (PostgreSQL/MySQL, Cassandra/DynamoDB, Redis)
  • Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD
  • Strong communication and cross-disciplinary collaboration skills

Tech stack

JavaGoPythonPyTorchTensorFlowSparkKafkaAWSPostgreSQLMySQLCassandraDynamoDBRedisDockerKubernetesCI/CDLLMsApache IcebergApache Hudi

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