Description

You will build and deploy end-to-end AI solutions, managing ETL/ELT workflows and statistical data modeling.

This role is remote.

Responsibilities

• Deploy ML and Generative AI models to production.
• Build and maintain end-to-end AI solution architectures.
• Develop and manage ETL/ELT data workflows.
• Perform statistical analysis and data modeling.

Required Skills

• 3-6 years of experience in AI, Data Science, Data Engineering, or Analytics.
• Proficiency in Python with pandas, NumPy, scikit-learn, PyTorch, and TensorFlow.
• Expertise in SQL across Redshift, Aurora, RDS, and Oracle.
• Cloud experience in AWS (SageMaker, Glue, Athena) or Azure (Synapse, Data Factory).
• Experience with Data Modeling and Generative AI.
• Familiarity with Data Warehousing and BI tools like Power BI or Tableau.
• Understanding of Agile methodology and cross-functional collaboration.

Preferred Skills

• Experience with specific data warehousing architectures.
• Background in advanced statistical analysis.

Key Skills

Education

Any Graduate