Posted:3 weeks ago|
Platform:
Work from Office
Full Time
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.
Zeta Global
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