Sr AI/ML Engineer

Zeta Global; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Zeta Global is seeking a Senior AI/ML Engineer in Bengaluru to build and deploy machine learning models for their advertising platform. You will collaborate closely with engineering, product, and data science teams to deliver scalable ML solutions.

The ideal candidate has over 5 years of experience in software engineering and machine learning, with proficiency in languages like Java, Go, or Python. Knowledge in the advertising ecosystem and big data frameworks enhances your profile.

This role emphasizes innovation, performance, and collaborative efforts to achieve impactful results.

Qualifications

• Experience in software engineering and/or applied machine learning.
• Knowledge of programmatic advertising ecosystem is a plus.
• Ability to explain technical concepts to both technical and non-technical stakeholders.

Responsibilities

• Design and implement scalable ML solutions for AdTech use cases.
• Build and evolve the ML lifecycle ensuring models integrate with ad serving systems.
• Contribute to the AI/ML technical roadmap and mentor other engineers.

Skills

Software engineering and applied machine learning

High-throughput and low-latency services

Programming (Java, Go, Python)

Machine learning frameworks (PyTorch, TensorFlow)

Big data and streaming frameworks (Spark, Kafka)

Containerization and orchestration (Docker, Kubernetes)

Education

5+ years of experience

Tools

PostgreSQL/MySQL

Cassandra/DynamoDB

Redis

Job description

As a Senior AI/ML Engineer in our AdTech team, you will be a hands‑on individual contributor building and deploying machine learning models and AI‑driven features for our advertising platform. You will partner with engineering, product, and data science to deliver production‑grade ML for campaign optimization, user personalization, and creative intelligence—operating at large scale and low latency across billions of ad events per day. You will contribute to modern ML/LLM capabilities and agentic workflows that automate and enhance campaign operations, with a strong focus on reliability, performance, and measurable business impact.

Key Responsibilities

• Machine Learning Delivery: Design, implement, and ship scalable ML solutions for core AdTech use cases (targeting, ranking, pacing, measurement). Own features end‑to‑end from experimentation to production rollout.
• ML System Design: Build and evolve the ML lifecycle—data preparation, training, evaluation, and real‑time inference—ensuring models integrate cleanly with ad serving systems and meet low‑latency, high‑throughput requirements.
• Technical Contribution: Contribute to the AI/ML technical roadmap by evaluating tools and techniques (including deep learning, LLMs, and retrieval/feature systems). Make pragmatic trade‑offs with an eye toward maintainability and operational excellence.
• AI & Agentic Applications: Develop and integrate LLM‑powered features and agentic workflows that assist with campaign workflows such as audience insights, bid/budget recommendations, and creative generation—within well‑defined guardrails.
• Cross‑Functional Collaboration: Work closely with engineering, product, and data science partners to translate marketing objectives into ML‑driven solutions, define success metrics, and deliver iterative improvements.
• Performance & Reliability: Operate ML services in a high‑concurrency, latency‑sensitive environment. Optimize inference paths, implement monitoring/alerting, manage model drift, and ensure safe deployment practices (A/B testing, canaries, rollbacks).
• Mentorship & Best Practices: Mentor and support other engineers through code/model reviews and knowledge sharing. Champion engineering rigor in testing, observability, documentation, and reproducible ML workflows.

Required Qualifications

• 5+ years of experience in software engineering and/or applied machine learning, with 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.
• Working knowledge of the programmatic advertising ecosystem (DSP/SSP/RTB) is a plus; strong adjacent experience (recommendation, ranking, marketplaces) is also valued.
• Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
• Hands‑on experience with ML frameworks (PyTorch or TensorFlow) and common modeling approaches (classification, ranking, embeddings, deep learning).
• Experience with big data and streaming frameworks (e.g., Spark, Kafka) for processing and analyzing large datasets.Experience deploying ML to cloud environments (preferably AWS) and operating services at scale.
• Familiarity with data stores (SQL/NoSQL) such as PostgreSQL/MySQL, Cassandra/DynamoDB, Redis, etc.
• Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD practices.
• Strong communication skills and ability to collaborate across disciplines; comfort explaining technical concepts to both technical and non‑technical stakeholders.

Preferred Qualifications

• Experience with Large Language Models (LLMs) and generative AI applied to advertising (e.g., ad copy generation, creative optimization, or personalized messaging).
• Experience designing and implementing agentic workflows that support autonomous or semi‑autonomous decision‑making with strong safety/observability guardrails.
• Experience with model serving and optimization for real‑time inference (latency‑critical environments).
• Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large‑scale analytical datasets.
• Knowledge of microservices architecture and event‑driven design patterns in distributed systems.
• Contributions to open‑source projects, publications, or speaking engagements that demonstrate thought leadership in AI/ML are a plus.

EEO Statement

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.