
AI/ML Pipeline Developer
5 days ago
This senior data engineer position is responsible for designing, developing and maintaining internal software tools for data processing, workflow automation, benchmarking and testing.
Job Responsibilities- Data Engineering: Develop high-quality software tools and workflows to process and analyze large datasets, ensuring data accuracy and integrity.
- Pipeline Development: Create and maintain automated pipelines (CI/CD, DataOps) for efficient data processing and delivery.
- Collaboration: Work closely with field service engineers and drone pilots to collect in-field test data from sensors for analysis.
- Workflow Optimization: Profile, benchmark and optimize performance-critical code for high availability, reliability, low latency and scalability.
- Troubleshooting: Collaborate with stakeholders to troubleshoot and resolve bug/issue reports.
Requirements:
- Bachelor's degree in Computer Science, Mathematics or a related technical field, or equivalent practical experience.
- Minimum 5 years of experience in a professional data/software engineering environment.
- Demonstrated experience in creating automated workflows (CI/CD, DataOps) and AI/ML pipelines (MLOps).
- Proficiency in an object-oriented programming language, preferably Python or Java.
- Advanced understanding of data structures, algorithms and mathematics and physics in software development.
- Familiarity with Linux and containerization (Docker).
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