AI/ML Engineer III
Job Responsibilities
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Leads R&D efforts, develops scalable AI systems, and contributes to strategic problem-solving across teams.
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Owns and maintains major components and complex features of a project.
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Drives research initiatives and develops innovative algorithms.
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Implements advanced algorithms with awareness of tradeoffs.
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Coaches team members on ML concepts, best practices, and procedures.
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Occasionally collaborates cross-functionally on high-impact projects to integrate AI technologies into products and services
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Demonstrates a strong understanding of how components and features impact the business, and ensures work is aligned with overall project outcomes.
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Stay updated on the latest AI trends
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Write and review research reports and experiment results.
Tech Stack
- Languages: Python, C/C++, CUDA
- AI/ML & Computer Vision: PyTorch, OpenCV, TensorFlow, TensorRT, ONNX
- Tools & Infrastructure: Linux, Docker, Kubernetes, Git, and CI/CD pipelines
- Data: Real-time video processing, RTSP/video streaming and cloud platforms
Profile and Skills
- A minimum of 7+ years in a similar role managing complex technical projects.
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Deep understanding of ML/AI architectures and applications.
- Bachelor’s or Master’s degree in Engineering, Computer Science, Machine Learning or a related field is preferred
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Strong in experimentation, scalability, and real-time systems.
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Advanced problem-solving and engineering judgment.
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Understands the latest innovations in machine learning and computer vision
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Ability to design complex experiments and to communicate them clearly to other team members.
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Ability to design and develop components addressing the needs their research identified.
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Implement algorithms and solutions presented in papers.
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Advance projects to production (from prototype/research phase to production phase)
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Posseses advanced engineering skills.
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Strong analytical skills, able to identify trends and make decisions based on data.
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Knowledge of statistics and data analytics.
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