Design and implement data pipelines to support complex AI agent training initiatives. Collaborate with AI/ML engineers to ensure efficient data flows and high-quality training datasets. Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Data Engineer [$50 - $120/hr]
Role Responsibilities
- Design, implement, and manage data pipelines to support complex AI agent training initiatives
- Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets
- Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL
- Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange
- Contribute to the optimization of AI models through effective data engineering practices
- Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders
- Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications
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- Bachelor’s degree in Computer Science, Engineering, or a related field
- 3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects
- Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript
- Strong understanding of AI concepts and experience in training AI agents
- Exceptional written and verbal communication skills, with a focus on clarity and collaboration
- Experience implementing robust data pipelines and scalable architecture for machine learning projects
- Self-motivated, detail-oriented, and able to thrive in a fully remote team environment
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- Master’s degree in a related field
- Direct experience with AI agent frameworks and real-world deployment projects
- Previous work in fast-paced startup or innovation-driven environments
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