Remote Lead AI Engineer: Architect, Mentor & ML Innovator

Placements24

Mtubatuba Local Municipality

Hybrid

ZAR 1.200.000 - 2.000.000

Vollzeit

Vor 2 Tagen
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Benefits dieser Stelle

Fully remote work
Competitive salary
Excellent benefits package
Career advancement opportunities

Zusammenfassung

Placements24 is seeking a Lead AI Engineer to drive AI development from conception to deployment. This fully remote role lets you influence product strategy while mentoring a team of engineers.

You will define technical architecture, develop scalable ML models, and collaborate with data scientists and product managers to deliver impactful AI solutions. A strong background in ML, cloud platforms, and MLOps is required.

Qualifikationen

  • Master's or PhD in CS/AI/ML.
  • 7+ years in AI/ML with at least 2 years in a lead or senior role.
  • Proven track record delivering complex AI/ML projects.
  • Strong Python and ML libraries knowledge.

Aufgaben

  • Lead design, development, and implementation of AI and ML solutions.
  • Mentor and manage a team of AI/ML engineers, providing technical guidance.
  • Define technical strategy and architecture for AI projects.
  • Develop and deploy scalable, robust ML models.
  • Collaborate with product managers and data scientists to translate requirements into specs.
  • Ensure the quality, performance, and reliability of AI systems.
  • Establish and enforce best practices for AI development, testing, deployment (MLOps).
  • Conduct code reviews and provide constructive feedback to team members.
  • Stay abreast of the latest advancements in AI research and technologies.
  • Contribute to the selection and adoption of new AI tools and platforms.

Kenntnisse

Python
TensorFlow
PyTorch
scikit-learn
MLOps
CI/CD
Docker
Kubernetes
Leadership
Mentoring
System architecture

Ausbildung

Master's or PhD in CS/AI/ML

Tools

Docker
Kubernetes
TensorFlow
PyTorch
scikit-learn
AWS
Azure
GCP
ML Ops tooling

Jobbeschreibung

Placements24 is seeking a Lead AI Engineer to drive AI development from conception to deployment. This fully remote role lets you influence product strategy while mentoring a team of engineers.

You will define technical architecture, develop scalable ML models, and collaborate with data scientists and product managers to deliver impactful AI solutions. A strong background in ML, cloud platforms, and MLOps is required.

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