Responsibilities

• Design, develop, and maintain scalable data pipelines that support machine learning and analytics tasks.
• Collaborate closely with machine learning engineers and analytics teams to understand data requirements and deliver high-quality, reliable data.
• Implement data quality checks and validation processes to ensure data integrity and reliability for AI features.
• Participate in model evaluation and enhancement processes, ensuring that data systems support accurate and efficient model performance.
• Optimize existing data workflows and pipelines to improve efficiency and performance.
• Stay up-to-date with the latest technologies and methodologies in data engineering and machine learning.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience in data engineering, with a strong understanding of data warehouses, ETL processes, and data modeling.
• Familiarity with machine learning frameworks and concepts.
• Proficiency in programming languages such as Python, Scala, or Java.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Strong analytical and problem-solving skills, with attention to detail.
• Excellent communication skills and the ability to work collaboratively in a team environment.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible schedule and remote work options.
• Professional development opportunities and support for continued education.
• A dynamic and inclusive work environment that encourages innovation and creativity.
• Generous paid time off and holiday policies.