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Job Details

We are seeking a skilled and motivated ML Ops Engineer with a minimum of 3 years of experience in Software. Join our team and contribute to the deployment and optimization of machine learning models within a dynamic cloud environment, primarily utilizing AWS services. If you are passionate about driving efficiency in ML workflows, possess a strong foundation in Python, and thrive in collaborative, multicultural teams, this role offers a unique opportunity for impactful contributions.

Who you are:

  • Proficient in Python.
  • Ability to write clean, modular, and testable code.
  • Industry experience in developing and deploying machine learning models within a cloud environment, particularly AWS.
  • Skilled in designing, building and maintaining enterprise-grade machine learning and data platforms.
  • Excellent oral and written communication skills in English, passionate about collaborating with engineers to enhance system usability.
  • Independent engineer capable of taking ownership of projects from conceptualization to design and final implementation.
  • Possess a Master’s degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, etc.).

Nice to have:

  • Experience with build automation technologies like Gitlab CI.
  • Proficiency in orchestration technologies such as Docker and Kubernetes.
  • Expertise in building HTTP and GRPC APIs.
  • Experience with ML Ops tools such as ML Flow, Feast, and Airflow.
  • Familiarity with agile methodologies and experience working in a remote and asynchronous team environment.

What you might like about this role:

  • Collaboration on ML patent submissions and active engagement in weekly ML or engineering research paper review meetings.
  • Work within a collaborative and multicultural team, receiving reliable engineering support.
  • Enjoy a high degree of freedom and trust in delivering agreed-upon results using your preferred methods.
  • Competitive package with stock options.
  • Generous leave policy, including 25 vacation days and an additional 5 paid sick days.
  • Clearly defined projects with solid support from the product team, prioritizing internal projects for improving developer’s experience.
  • Short approval processes to streamline project implementation.
  • Emphasis on protecting your focus time, offering a healthy meeting policy with clear agendas.
  • If in the office, enjoy a calm environment composed of engineers only.
  • Flexible working hours, with remote work and home office options.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the challenging problems. We are hiring for all levels with compensation and role depending on experience.

About Zeta Global
Zeta Global is a  data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.


Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.




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ML Ops Engineer
I'm Interested