ML Ops Engineer

Key details

Full job description

Zeta Global is seeking a mid-level ML Engineer / Data Scientist with 3+ years of software or applied ML experience to design, build, and improve machine learning solutions primarily on AWS. The role involves data exploration, model development, experimentation, and production deployment with a focus on clean, modular Python code. Candidates should have a strong foundation in machine learning, statistics, experiment design, and experience with structured and unstructured data. Responsibilities include moving prototypes to production, monitoring models, and collaborating with engineers and product teams. A Master’s degree or equivalent experience is required. Preferred skills include scikit-learn, PyTorch, TensorFlow, XGBoost, MLflow, SQL, Airflow, dbt, Spark, Docker, and GitLab CI. The position offers hybrid remote work options and is located in Berlin, Germany.