Description

Design, develop, and deploy scalable AI/ML solutions for Big Data environments.

Responsibilities

• Build and deploy scalable AI/ML models for Big Data applications.
• Develop and manage Big Data pipelines using ETL processes and data modeling.
• Extract actionable insights from large datasets using statistical methods.
• Implement data warehousing solutions within Big Data contexts.
• Communicate complex technical findings to both technical and non-technical stakeholders.

Required Skills

• 8+ years of experience in Data Science and AI/ML.
• Proficiency in Python and SQL.
• Hands-on experience with TensorFlow and PyTorch.
• Experience with Scikit-learn and Spark MLlib.
• Strong knowledge of Big Data frameworks, specifically Spark.
• Experience deploying models using cloud-based Big Data services (GCP, AWS, or Azure).
• Solid understanding of ETL, data modeling, and warehousing.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or Mathematics.

Preferred Skills

• Data visualization skills.

Key Skills

Education

Bachelor's or Master's degrees