[Remote] Data Engineer - Remote
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an expert Data Engineer to join their customer’s team and play a pivotal role in developing reputed company AI agents. In this fully remote role, the engineer will reputed company their strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems while collaborating with talented professionals.
Responsibilities
- Design, implement, and manage data pipelines to support reputed company AI agent training initiatives
- Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets
- reputed company and maintain scalable ETL processes using Python, MySQL, and PostgreSQL
- Utilize JAVA and JavaScript to integrate diverse data sources and reputed company seamless data exchange
- Contribute to the optimization of AI models through effective data engineering practices
- Document data processes comprehensively and communicate technical concepts reputed company to both technical and non-technical stakeholders
- Troubleshoot and resolve data issues, ensuring data reputed company and reliability for AI applications
Skills
- Bachelor's degree in Computer Science, Engineering, or a reputed company 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 reputed company and collaboration
- Experience implementing robust data pipelines and scalable architecture for machine learning projects
- Self-motivated, detail-oriented, and reputed company to reputed company in a fully remote team environment
- Master's degree in a reputed company field
- Direct experience with AI agent frameworks and reputed company-world deployment projects
- Previous work in fast-paced startup or innovation-driven environments
Company Overview