Computer Vision Innovation Specialist

1 week ago

Karachi, Sindh, Pakistan beBeeVisionary Full time 900,000 - 1,200,000
Job Description

We are seeking a dedicated professional with a strong foundation in mathematics and algorithmic problem-solving. The ideal candidate will have 3+ years of full-time industry experience in computer vision and MLOps, with a proven track record of delivering rapid, quality solutions in a collaborative team environment.


Key Responsibilities:
  • Design, develop, and deploy robust computer vision solutions and scalable MLOps pipelines for production environments.
  • Lead and contribute to advanced research projects, leveraging strong mathematical and algorithmic expertise to implement state-of-the-art machine learning solutions.
  • Ensure quick and efficient delivery of projects and products, focusing on continuous improvement and innovative problem-solving.
  • Work collaboratively with cross-functional teams on multiple projects, fostering an environment of clear communication and proactive issue resolution.

A Master's degree is preferred over a Bachelor's, and candidates should not be concurrently pursuing academic coursework or scholarships in AI/ML.


Requirements and Skills

For this role, we require:


  • Minimum of 3 years of full-time, non-freelance industry experience in computer vision and MLOps.
  • Master's degree (MS) in a relevant field is preferred over a Bachelor's degree.

Candidates should possess:


  • Proficiency in Python.
  • Strong grasp of mathematics and algorithmic concepts.
  • Proven experience in deploying ML models in production environments.

Benefits and Considerations

This role requires a minimum commitment of one year. We seek candidates who are self-reliant and capable of independently managing challenges.


  • The successful candidate will proactively flag any issues early and work towards keeping projects on track.

Preferred Qualifications

While not necessary, having familiarity with Large Language Models (LLMs) and demonstrated track records of research and innovative project contributions are beneficial.


Experience with deploying scalable MLOps pipelines and managing end-to-end machine learning workflows is also desirable.

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