Description

You will build, maintain, and deploy AI/ML systems and statistical models within large-scale Big Data environments.

This role is on-site.

Responsibilities

• Design and implement on-premises and cloud AI/ML systems and services.
• Develop large statistical databases using DataIKU, Hadoop, Databricks, and Snowflake.
• Implement statistical and econometric models in Python, PySpark, or R.
• Process large data volumes using Spark, PySpark, and RSpark across Hadoop and Snowflake.
• Ensure data integrity through quality checks, validation, governance, and transparency.

Required Skills

• 10-12 years developing statistical models in Big Data ecosystems (Hadoop, Spark, HBase, Hive/Impala).
• Proficiency with Python and R, including 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, 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