Machine Learning Engineer AI & ML Team @ Zeta Global

Zeta Global is looking for an experienced Machine Learning Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems.

To be a good fit to join our AI/ML team, you should ideally:

• Be a thought leader that can work with cross-functional partners to foster a data-driven organisation.
• Be a strong team player, have experience contributing to a large project as part of a collaborative team effort.
• Have extensive knowledge and expertise with machine learning engineering best-practices and industry standards.
• Empower the product and engineering teams to make data-driven decisions.

What you need to succeed:

• 2 to 4 years of proven experience as a Machine Learning Engineer in a professional setting.
• Proficiency in any programming language (Python preferable).
• Prior experience in building and deploying Machine learning systems.
• Experience with containerization: Docker & Kubernetes.
• Experience with AWS cloud services like EKS, ECS, EMR, Lambda, and others.
• Fluency with workflow management tools like Airflow or dbt.
• Familiarity with distributed batch compute technologies such as Spark.
• Experience with modern data warehouses like Snowflake or BigQuery.
• Knowledge of MLFlow, Feast, and Terraform is a plus.