Lead Deep Learning Engineer: AI Architect & Team Leader

Placements24

Mossel Bay

On-site

ZAR 1,200,000 - 1,800,000

Full time

5 days ago
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Benefits offered by this job

Performance bonuses
Medical aid
Retirement planning

Job summary

Placements24 seeks a Lead Deep Learning Engineer in Mossel Bay to spearhead advanced model development. You will lead engineers and researchers, uniting research with production to deliver cutting-edge AI solutions.

The role requires strong leadership, deep learning expertise, and experience with MLOps for deploying models in production environments. Join a dynamic team driving AI innovation in the Western Cape.

Qualifications

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or related field.
  • Extensive experience in deep learning with portfolio of projects.
  • Proven leadership of technical teams and project management.
  • Expertise in frameworks such as TensorFlow, PyTorch, or Keras.
  • Proficiency in Python and libraries like NumPy and Pandas.
  • Strong understanding of neural networks and training methods.
  • Experience deploying models in production (MLOps).
  • Excellent analytical and communication skills.

Responsibilities

  • Lead and mentor a team of deep learning engineers and researchers.
  • Design, develop, and deploy state-of-the-art deep learning models.
  • Define the technical roadmap for deep learning projects.
  • Oversee model development lifecycle from experimentation to production.
  • Stay updated with latest deep learning advancements.
  • Collaborate with cross-functional teams to integrate AI into products.

Skills

Deep learning expertise
Team leadership
Python
MLOps

Education

Master's or PhD in CS/AI

Tools

TensorFlow
PyTorch
Keras

Job description

Placements24 seeks a Lead Deep Learning Engineer in Mossel Bay to spearhead advanced model development. You will lead engineers and researchers, uniting research with production to deliver cutting-edge AI solutions.

The role requires strong leadership, deep learning expertise, and experience with MLOps for deploying models in production environments. Join a dynamic team driving AI innovation in the Western Cape.

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