Description

You will build and maintain AI/ML systems and data pipelines within Big Data environments.

Responsibilities

• Design, develop, and implement on-premises and cloud AI/ML systems and services.
• Develop and implement large statistical databases in DataIKU/Hadoop and DataBricks/Snowflake environments.
• Implement statistical and econometric models in Python/PySpark/R on DataIKU and DataBricks platforms.
• Facilitate processing of large data volumes in Hadoop and Snowflake using Spark/PySpark/RSpark.
• Ensure data integrity through quality checks, validation, governance, and transparency.

Required Skills

• 10-12 years developing and implementing statistical models in Big Data ecosystems (Hadoop, Spark, HBase, Hive/Impala).
• Proficiency with Python and R, including libraries like Scikit-learn and Pandas.
• Hands-on experience with Hadoop, Snowflake, Spark, HDFS, Python, R, and PySpark.
• Proficiency with DataIku, DataBricks, or similar AI/ML tooling.
• Expertise in complex and optimized SQL and related big data technologies.
• Understanding of data structures, data modeling, and software architecture.
• Experience deploying models to production and monitoring performance.

Key Skills

Education

Any Graduate