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6 hours ago
Job Description
We are seeking a dedicated, research-driven professional with a strong foundation in mathematics and algorithmic problem-solving. The ideal candidate will have extensive experience in computer vision and machine learning operations, with a proven track record of delivering rapid, quality solutions in a collaborative team environment.
Key Responsibilities:- Design, Develop, and Deploy Computer Vision Solutions: Create robust computer vision solutions and scalable MLOps pipelines for production environments.
- Lead Advanced Research Projects: Contribute to cutting-edge research projects, leveraging strong mathematical and algorithmic expertise to implement state-of-the-art machine learning solutions.
- Deliver Projects Efficiently: Focus on continuous improvement and innovative problem-solving to deliver projects quickly and efficiently.
- Collaborate with Cross-Functional Teams: Work collaboratively with teams on multiple projects, fostering an environment of clear communication and proactive issue resolution.
- Identify and Resolve Issues: Quickly identify potential issues or failures, communicate them transparently, and proactively drive solutions without creating dependencies on others.
- Experience: A minimum of 3 years of full-time industry experience in computer vision and MLOps is required.
- Education: A Master's degree in a relevant field is preferred over a Bachelor's degree.
- Programming Skills: Proficiency in Python; C++ is a plus.
- Mathematical Concepts: Strong grasp of mathematics and algorithmic concepts is essential.
- Production Experience: Proven experience in deploying ML models in production environments is necessary.
- Familiarity with LLMs: Familiarity with Large Language Models is a bonus.
- Research Experience: Demonstrated track record of research and innovative project contributions.
- MLOps Pipelines: Experience with deploying scalable MLOps pipelines and managing end-to-end machine learning workflows.
- Commitment: A minimum commitment of one year is required.
- Independence: The successful candidate will be self-reliant, capable of independently managing challenges, and will proactively flag any issues early to keep projects on track.
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