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2 weeks ago
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.
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