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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