Zeta Global

Zeta Global provides an AI-powered marketing cloud that enables enterprises to acquire, grow, and retain customers through precision marketing, leveraging data science, advanced analytics, and machine learning to create optimized customer experiences.

Media

Consumer Discretionary

1K-5K (1434)

Founded 2007

19 open positions

Links

View All Jobs

ML Ops Engineer

2 months, 2 weeks ago

Czech Republic

Full-time

Mid Level

Machine Learning Engineer

Software Development

Agile Apache Airflow Apache Spark AWS CI/CD dbt Deep Learning Docker Feature Engineering Generative AI GitLab CI gRPC LLM Machine Learning MLflow Python PyTorch Scikit-learn SQL Statistics TensorFlow XGBoost

Apply Now

Zeta Global

Media

1K-5K

Founded 2007

View All Jobs 19

Description

Design, build, and improve machine learning solutions in a cloud environment, primarily on AWS.
Explore data, develop models, and run rigorous experiments to compare approaches.
Bring models and ML workflows into production with reliable, reproducible processes.
Perform feature engineering, dataset construction, labeling checks, and train/validation/test evaluation.
Analyze model performance using clear metrics, error analysis, and tradeoff assessment.
Develop ML solutions that address real business or product problems.
Package models, build inference paths, monitor performance, and iterate after launch.
Collaborate closely with engineers, product partners, and other data scientists.
Explain methods, results, and limitations to both technical and non-technical audiences.
Own work end to end from problem framing through experimentation, implementation, and rollout.

Requirements

3+ years of software or applied ML experience.
Strong foundation in machine learning, statistics, and experiment design.
Proficiency in Python and ability to write clean, modular, testable code.
Experience building models for real business or product problems.
Comfort with structured and unstructured data and strong train/validation/test discipline.
Experience developing and deploying ML solutions in a cloud environment, especially AWS.
Excellent written and spoken English.
Master’s degree in Science or Engineering, such as Computer Science, Mathematics, Physics, or Statistics, or equivalent practical experience.
Experience with scikit-learn, PyTorch, TensorFlow, XGBoost, or similar modeling stacks.
Familiarity with ML experiment tracking and reproducibility tools such as MLflow or W&B.
Experience with SQL, data warehouses/lakes, and pipeline tools such as Airflow, dbt, or Spark.
Exposure to feature stores, embedding pipelines, or vector search for retrieval-based systems.
Experience building HTTP/gRPC APIs or lightweight services around model inference.
Working knowledge of Docker, basic orchestration, and CI/CD such as GitLab CI.
Experience working in agile, remote, and async team environments.
Publications, patents, Kaggle/competition results, or open-source ML contributions.

Benefits

Competitive compensation, including stock options.
Flexible hours.
Remote and home office options.
A calm, engineers-only office when on-site.
Healthy meeting policy with protected focus time.
High trust and autonomy in how work is completed.
Meaningful internal product impact on developer and user experience.
Collaboration on ML patent submissions and weekly ML/research paper review meetings.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

AI/ML Engineer

Fieldwire 251-1K Construction & Engineering

Fieldwire, a Hilti construction technology company, is hiring a fully remote AI/ML Engineer in the United States to build and deploy machine learning systems that convert 360° jobsite captures into actionable insights for construction teams.

United States Full-time Mid Level Machine Learning Engineer

$152k-$220k

Agile Computer Vision Deep Learning Generative AI Machine Learning

2 days, 7 hours ago

Apply

2 days, 7 hours ago

AI Product Engineer

Kyivstar 1K-5K Wireless Telecommunication Services

Kyivstar.Tech is seeking an AI Product Engineer to turn business needs into AI-powered products by combining product ownership, full-stack development, and production delivery.

Anywhere Full-time Senior Full-stack Engineer Machine Learning Engineer

AWS Azure CI/CD Cybersecurity Docker GraphQL MLOps Node.js Python React REST API

3 days, 8 hours ago

Apply

3 days, 8 hours ago

Senior Machine Learning Engineer

Coderio 51-250 Internet Software & Services

Coderio is seeking a Senior Machine Learning Ops Engineer to architect, automate, and deploy scalable machine learning solutions while connecting data science with software engineering across international client initiatives.