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Consultant

Senior AI/ML Data Developer

Primary Skills: AI/ML Snowflake Python PySpark

Secondary: dbt Airflow SQL

Key Responsibilities

  • Design, develop, and maintain AI/ML-focused data pipelines using Python and PySpark
  • Build scalable data processing and feature engineering pipelines for model training and inference
  • Develop and optimize Snowflake-based data models to support AI/ML workloads and advanced analytics
  • Implement PySpark jobs for large-scale data transformations and ML data preparation
  • Collaborate with data scientists and ML engineers to operationalize AI/ML models
  • Support the ML lifecycle, including data ingestion, feature generation, training, and inference pipelines
  • Optimize performance and cost across Snowflake and Spark-based processing
  • Implement data quality checks, validations, and monitoring for ML-ready datasets
  • Follow Git-based development, CI/CD pipelines, and engineering best practices
  • Troubleshoot production issues and ensure reliability of data and ML pipelines

Required Skills

  • Strong hands-on experience in AI/ML data platforms or ML-supporting pipelines
  • Expert proficiency in Python for data engineering and ML workloads
  • Strong experience with PySpark for large-scale data processing
  • Solid expertise in Snowflake, including data modeling and performance optimization
  • Strong SQL skills for analytics and ML data preparation
  • Good understanding of feature engineering and data preparation for ML models
  • Experience working in production-grade data environments

Good to Have

  • Experience with dbt for analytics engineering
  • Experience with Apache Airflow or similar orchestration tools
  • Exposure to MLOps practices, model monitoring, or feature stores
  • Experience with GenAI / LLM data pipelines

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