AI Data Scientist (Computer Vision Specialist)

Placements24; Randburg; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Stock options

Remote work setup allowance

Medical insurance

Conference opportunities

Powerful computing resources

Retirement plan

Job summary

Placements24 is seeking a high-caliber AI Data Scientist with a CV specialization. You will design, develop and deploy advanced computer vision models, applying deep learning to solve complex image and video analysis challenges. The role supports a remote-first team with projects impacting the Randburg region and beyond.

You will work with Python, TensorFlow/PyTorch, and OpenCV, handling data preprocessing, training, evaluation, and collaboration with software engineers to productionize models.

Qualifications

• PhD or MSc in CS/EE/AI with CV specialization.
• 4+ years as Data Scientist or ML Engineer focusing on CV.
• Strong experience with Python and CV libraries such as OpenCV.

Responsibilities

• Design, develop, and deploy cutting-edge computer vision models.
• Apply deep learning to image and video analysis tasks.
• Preprocess and manage large datasets for training.
• Train, evaluate, and fine-tune CV models for performance.
• Collaborate with AI engineers to integrate models into production.

Skills

Python

Deep learning

Computer Vision

OpenCV

NumPy & Pandas

Education

Ph.D. or Master’s in CS/EE/AI with CV focus

Tools

TensorFlow

PyTorch

Keras

Job description

About the Role

Our client, a leading innovator in AI & Emerging Technologies, is seeking a highly skilled and specialized AI Data Scientist with expertise in Computer Vision to join their dynamic, remote-first team. While this role is remote, it will contribute to projects with significant impact for the Randburg, Gauteng, ZA region and beyond. You will be at the forefront of developing and deploying advanced computer vision models for a variety of challenging applications. The ideal candidate possesses a strong theoretical foundation in machine learning, deep learning, and computer vision, coupled with practical experience in implementing solutions using Python and relevant libraries. This is an exceptional opportunity to work with state-of-the-art technology, collaborate with a world-class team, and make a tangible impact on groundbreaking AI projects. We value innovation, collaboration, and continuous learning, providing a supportive environment for your professional growth.

Key Responsibilities

• Design, develop, and implement cutting-edge computer vision models and algorithms.
• Apply deep learning techniques to solve complex image and video analysis problems.
• Preprocess, clean, and manage large datasets for model training.
• Train, evaluate, and fine-tune computer vision models for optimal performance.
• Collaborate with AI engineers and software developers to integrate models into production systems.
• Conduct research into new computer vision techniques and technologies.
• Analyze and interpret model results, providing actionable insights.
• Document research, methodologies, and results clearly and comprehensively.
• Stay updated with the latest advancements in computer vision and AI research.
• Present findings and recommendations to technical and non-technical stakeholders.

Requirements

• Ph.D. or Master's degree in Computer Science, Electrical Engineering, AI, or a related field with a specialization in Computer Vision.
• Proven experience (4+ years) as a Data Scientist or ML Engineer with a strong focus on Computer Vision.
• Expertise in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of image processing techniques and computer vision libraries (e.g., OpenCV).
• Experience with various CV tasks such as object detection, image segmentation, facial recognition, and video analysis.
• Proficiency in data manipulation and analysis libraries (e.g., NumPy, Pandas).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication skills, with the ability to explain complex technical concepts.
• Proven ability to work effectively in a remote team environment.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive medical, dental, and vision insurance.
• Generous stock options and equity awards.
• Flexible remote work environment with a home office setup allowance.
• Opportunities for professional development, attending conferences, and further education.
• Access to powerful computing resources and cutting-edge AI tools.
• A collaborative and innovative culture focused on impactful AI research.
• 401(k) or similar retirement savings plan with company contributions.