AI/ML Engineer - Web Data Quality - Remote

AI/ML Engineer - Web Data Quality - Remote

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About Us

At Zyte, we eat data for breakfast and you can work from anywhere. Founded in 2010, we are a globally distributed team of over 250 Zytans across 28 countries, on a mission to enable our customers to extract the data they need to innovate and grow. We believe all businesses deserve a smooth pathway to data and lead the way in building powerful, easy‑to‑use tools to collect, format, and deliver web data quickly, dependably, and at scale.

Roles & Responsibilities

• Design and implement AI‑driven quality checks: build models to detect anomalies, identify schema drift, and classify data errors in real time.
• Automate and scale QA: replace manual and rule‑based validation with ML‑powered solutions that continuously improve.
• Leverage Gen
  AI for validation: use embedding models, LLMs, and prompt‑driven pipelines to perform semantic checks on scraped data.
• Develop monitoring & alerting pipelines: quantify data quality via KPIs, dashboards, and automated reports for stakeholders.
• Experiment & innovate: research and prototype new AI techniques for QA, e. g. using embeddings, synthetic data, and reinforcement learning to stress‑test scrapers.
• Collaborate cross‑functionally: work with developers, product managers, and account teams to integrate AI‑based QA into production workflows.
• Communicate insights: present findings with clear visualizations, metrics, and evidence‑based recommendations to technical and non‑technical audiences.

Requirements

• Proficiency in Python & Py
  Data stack (Num
  Py, pandas, scikit‑learn, Py
  Torch/Tensor
  Flow preferred).
• 3+ years in a data science, applied ML, or data engineering role (ideally with exposure to QA or data validation at scale).
• Hands‑on experience with Gen
  AI tools: LLM APIs (Open
  AI, Anthropic, Google), prompt engineering, cost/token optimization.
• Strong ML fundamentals: anomaly detection, classification, clustering, embeddings, evaluation metrics.
• Experience with big data frameworks (Spark, Big
  Query, or similar).
• Ability to work with very large datasets (millions+ of records).
• Version control skills (Git
  Hub/Bitbucket).
• Excellent communication in English, both technical and non‑technical.

Desired Skills

• Prior experience in data quality automation or web data QA.
• Familiarity with Lang
  Chain, MCP, Marvin, or similar orchestration frameworks.
• Experience building QA dashboards or visualization layers.
• Background in statistics or applied mathematics.
• Previous remote/distributed work experience.

Benefits

As a new Zytan, you will:

• Become part of a self‑motivated, progressive, multi‑cultural team.
• Have the freedom and flexibility to work from where you do your best work.
• Attend conferences and meet 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

Quality Assurance

Industries

IT Services and IT Consulting