Artificial Intelligence Data Validator

2 weeks ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 15,00,000 - ₹ 28,00,000
AI Data Validation Specialist">

We are seeking a highly skilled AI data validation specialist to develop and deploy machine learning-driven data quality solutions. As part of our global operations, we rely on high-quality data to drive critical decisions.

This role involves building scalable anomaly detection systems, collaborating with data engineering teams, and driving innovations in MLOps and data monitoring.

Main Responsibilities:

  • Develop ML-based data validation and monitoring solutions, focusing on anomaly detection and explainability.
  • Analyze large datasets to detect data drift, integrity issues, and emerging quality risks.
  • Apply the full ML lifecycle, from exploratory data analysis (EDA) and feature engineering to model selection, training, deployment, and monitoring.
  • Experiment with different methodologies to improve model accuracy and reliability.
  • Collaborate with data engineering teams to design frameworks for detecting missing, inconsistent, or duplicate data.
  • Investigate root causes of data quality issues and propose scalable, automated solutions.

Requirements:

  • 3+ industry experience in building ML solutions and collaborating with software teams.
  • Strong experience in machine learning for anomaly detection, data validation, or data quality improvement.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, etc.).
  • Hands-on experience with SQL and databases (PostgreSQL, Snowflake, MySQL, etc.).
  • Strong knowledge of statistical methods (PCA, exponential smoothing, and etc.) for detecting anomalies, drift, and inconsistencies.
  • Experience with version control (Git) and software development best practices.

Preferred Qualifications:

  • Experience with MLOps tools (MLflow, Kubeflow) for managing data quality models.
  • Exposure to big data frameworks (Spark, Kafka) for real-time data validation.
  • Familiarity with CI/CD for data pipelines and model deployments.
  • Strong problem-solving skills and ability to diagnose complex data issues.
  • Experience working with large-scale structured and unstructured data.
  • Familiarity with data engineering concepts, including ETL pipelines, batch/stream processing.

Benefits:

We offer a dynamic work environment, opportunities for professional growth, and a competitive compensation package.

What We Offer:

We strive to create a positive and inclusive work environment that fosters collaboration, innovation, and success.

How to Apply:

If you are a motivated and talented individual with a passion for AI and data quality, please submit your application.

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