Computer Vision Engineer

4 weeks ago

Karachi, Sindh, Pakistan Ahoy Full time

We are seeking a dedicated, research-driven professional with a strong foundation in mathematics and algorithmic problem-solving. The ideal candidate will have 3+ years of full-time industry experience (non-freelance) in computer vision and MLOps, with a proven track record of delivering rapid, quality solutions in a collaborative team environment. A Master's degree is preferred over a Bachelor's, and candidates should not be concurrently pursuing academic coursework or scholarships in AI/ML.

Computer Vision & MLOps Development:

Design, develop, and deploy robust computer vision solutions and scalable MLOps pipelines for production environments.

Research & Innovation:

Lead and contribute to advanced research projects, leveraging strong mathematical and algorithmic expertise to implement state-of-the-art machine learning solutions.

Project Delivery:

Ensure quick and efficient delivery of projects and products, focusing on continuous improvement and innovative problem-solving.

Team Collaboration:

Work collaboratively with cross-functional teams on multiple projects, fostering an environment of clear communication and proactive issue resolution.

Problem Identification & Resolution:

Quickly identify potential issues or failures, communicate these transparently, and proactively drive solutions without creating dependencies on others.

Code Excellence:

Write clean, maintainable code primarily in Python; experience in C++ is a plus. Good with Nvidia Triton Server, Deepstream and other ML optimization and serving frameworks.

Required Qualifications:Experience:

Minimum of 3 years of full-time, non-freelance industry experience in computer vision and MLOps.

Education:

Master's degree (MS) in a relevant field is preferred over a Bachelor's degree. Candidates actively pursuing AI/ML coursework or scholarships for further academic programs (MS/PhD) will not be considered.

Technical Skills:
  • Proficiency in Python; C++ is a plus.
  • Strong grasp of mathematics and algorithmic concepts.
  • Proven experience in deploying ML models in production environments.
Soft Skills:
  • Excellent communication skills and a proactive approach to problem-solving.
  • Ability to work well in a team and collaborate on multiple projects simultaneously.
  • Commitment to a minimum tenure of one year with a focus on long-term growth and impact.
Preferred Qualifications:
  • Familiarity with Large Language Models (LLMs) is a bonus.
  • Demonstrated track record of research and innovative project contributions.
  • Experience with deploying scalable MLOps pipelines and managing end-to-end machine learning workflows.
Additional Considerations:Commitment:

The role requires a minimum commitment of one year; we are seeking candidates who are not looking to switch roles frequently.

Autonomy:

The successful candidate will be self-reliant, capable of independently managing challenges, and will proactively flag any issues early ("fail quick") to keep projects on track.

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