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At Zyte, we make the world's web data accessible to everyone. Our technology powers data extraction at scale, helping businesses and researchers unlock the full potential of the web.
We're a remote-first, multicultural team of engineers, data scientists, and innovators who believe in curiosity, collaboration, and continuous learning. If you're passionate about building reliable AI systems and improving the quality of web data, we'd love to hear from you.
About The Role
As a Machine Learning Engineer (Web Data Quality), you will design and implement intelligent systems that automatically detect, measure, and improve the quality of large-scale web datasets. You will work at the intersection of data science, AI, and distributed systems, collaborating closely with product, engineering, and data teams to make data accuracy measurable, scalable, and actionable.
What You’ll Do
Develop and deploy ML models for anomaly detection, schema drift, and content validation
Build and improve data quality pipelines leveraging modern data and MLOps tools
Design and optimize embeddings and GenAI models to enhance data consistency
Collaborate with engineers to integrate AI systems into production workflowsConduct experiments, evaluate performance, and iterate for continuous improvement
Stay up to date on AI/ML and GenAI research to guide innovation within Zyte
Required Qualifications
3+ years of experience in Machine Learning / Data Science / AI Engineering
Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
Experience with data validation, anomaly detection, or data quality systems
Familiarity with data pipelines (Airflow, Spark, or similar)
Understanding of model evaluation, metrics, and deployment best practices
Excellent problem‑solving, communication, and collaboration skills
Preferred Qualifications
Experience with LangChain, LlamaIndex, or GenAI model orchestration
Familiarity with data labeling tools and active learning approaches
Contributions to open‑source or public ML projects
Experience working in a remote, cross‑functional team environment
Benefits
35 days of paid time off
Health & wellness support
Inclusive and supportive team environment
Attend conferences and meet with team members from across the globe
Work with cutting‑edge open source technologies and tools
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Industries
IT Services and IT Consulting
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