Python Snowflake CREQ244744
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Job Location:
Monthly Salary:
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
