Senior Machine Learning Engineer - Computer Vision

Placements24

Johannesburg

Hybrid

ZAR 1,200,000 - 2,000,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Health insurance
Retirement plan
Professional development
Hybrid work model

Job summary

Placements24 in Johannesburg is seeking a Senior Machine Learning Engineer specialized in computer vision to design, develop, and deploy cutting-edge AI systems. You will work with cross-functional teams to translate research into scalable solutions, deliver robust CV models, and mentor junior engineers.

The role requires advanced degrees and 5+ years of hands-on CV ML experience, with Python and major ML frameworks.

Qualifications

  • Master's or PhD in Computer Science, AI, or related field.
  • 5+ years hands-on ML experience with a focus on computer vision.
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with large-scale datasets and distributed computing environments.
  • Strong understanding of software engineering best practices, including version control and testing.

Responsibilities

  • Design, develop, and deploy state-of-the-art ML models for CV tasks such as object detection, segmentation, and facial recognition.
  • Conduct rigorous experimentation to optimize model performance and accuracy.
  • Collaborate with data scientists, software engineers, and product managers to integrate AI into production systems.
  • Stay current with AI research and advancements in CV.
  • Mentor junior engineers and contribute to a strong technical culture.

Skills

Machine Learning
Computer Vision
Python
Distributed Computing
Software Engineering Best Practices

Education

Master's or PhD in CS/AI

Tools

TensorFlow
PyTorch
Keras

Job description

About the Role

Our client is seeking a highly skilled and motivated Senior Machine Learning Engineer specializing in Computer Vision to join their innovative team in Johannesburg . This role is crucial for developing cutting-edge AI solutions that will define the future of their products and services. You will be at the forefront of applying advanced deep learning techniques to solve complex real-world problems, working within a dynamic and collaborative environment that fosters creativity and technical excellence. This position offers a unique opportunity to impact groundbreaking projects and contribute to the rapid advancement of AI technologies within a leading organization.

Key Responsibilities
  • Design, develop, and deploy state-of-the-art machine learning models for computer vision tasks, including object detection, image segmentation, and facial recognition.
  • Conduct rigorous experimentation and evaluation of different algorithms and architectures to optimize model performance and accuracy.
  • Collaborate with cross-functional teams of data scientists, software engineers, and product managers to integrate AI solutions into production systems.
  • Stay abreast of the latest research and advancements in AI and machine learning , particularly in the domain of computer vision.
  • Mentor junior engineers and contribute to building a strong technical culture within the team.
Requirements
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of hands-on experience in developing and deploying machine learning models, with a strong focus on computer vision .
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with large-scale datasets and distributed computing environments.
  • Strong understanding of software engineering best practices, including version control and testing.
Benefits
  • Highly competitive salary and performance-based bonuses.
  • Comprehensive health insurance and retirement savings plan.
  • Opportunities for professional development, including conferences and training.
  • A hybrid work model that balances in-office collaboration with remote flexibility.
  • Access to cutting-edge technology and a stimulating work environment in Johannesburg .
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