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This listing was closed on Jul 18, 2026.
Browse Open JobsML Ops Engineer
PRAHA · CZ
—
Full-time
MID
About the Role
Zeta Global seeks an ML Engineer/Data Scientist to design, build, and improve machine learning solutions on AWS for its AI-powered marketing platform. This role involves end-to-end ML work from exploration to production.
Responsibilities
- Design, build, and improve machine learning solutions in a cloud environment (AWS).
- Explore data, develop models, run experiments, and bring approaches into production.
- Monitor and iterate on deployed models to ensure performance.
- Collaborate with engineers and product partners.
Requirements
- 3+ years of software or applied ML experience.
- Strong foundation in machine learning, statistics, and experiment design.
- Proficient in Python and AWS.
- Experience with structured and unstructured data, feature engineering, and validation.
- Master's degree in a relevant field or equivalent experience.
Nice to Have
- Experience with scikit-learn, PyTorch, TensorFlow, XGBoost.
- Familiarity with MLflow, W&B, SQL, Airflow, dbt, Spark.
- Knowledge of Docker, CI/CD, and HTTP/gRPC APIs.
- Publications, patents, or open-source ML contributions.
Zeta Global
New York · US · 2271+ employees
Zeta Global is an AI-powered marketing technology company that provides an omnichannel data-driven cloud platform. It enables enterprises to acquire, grow, and retain customers through personalized marketing across channels such as email, social media, and connected TV.
