Remote AI Research Lead — ML/DL Innovator

Placements24; Gauteng; Hybrid; ZAR 800,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary

Stock options

Health, dental & vision coverage

Flexible hours

Paid time off

Conference & training funding

Fully remote autonomy

Job summary

Placements24 is seeking a Lead AI Research Engineer for a fully remote, globally distributed team. You will spearhead research initiatives, design novel AI algorithms, and build scalable systems for ML, DL, NLP, and computer vision.

Requires 7+ years in AI R&D, a PhD or MS, and strong Python plus TensorFlow/PyTorch experience. You will mentor others, publish findings, shape the research roadmap, and ensure ethical AI practices.

Qualifications

• Minimum 7 years of AI R&D experience with proven innovations.
• Deep knowledge of ML/DL architectures (CNNs, RNNs, Transformers) and statistical modeling.
• Proficiency in Python and DL frameworks (TensorFlow, PyTorch, Keras).
• Experience with cloud platforms (AWS, Azure, GCP) and distributed computing.
• Strong problem-solving, communication, and leadership skills.

Responsibilities

• Lead AI R&D efforts across ML/DL research and development.
• Design, implement, validate novel AI algorithms and models.
• Develop scalable, efficient AI systems.
• Mentor junior engineers and researchers.
• Publish findings at top AI conferences or journals.
• Contribute to AI roadmap and strategy.
• Ensure ethical and responsible AI development.

Skills

Python

TensorFlow

PyTorch

Keras

Cloud platforms

Distributed computing

Research leadership

Education

Master's or PhD in CS/AI

Tools

TensorFlow

PyTorch

Keras

Job description

Placements24 is seeking a Lead AI Research Engineer for a fully remote, globally distributed team. You will spearhead research initiatives, design novel AI algorithms, and build scalable systems for ML, DL, NLP, and computer vision.

Requires 7+ years in AI R&D, a PhD or MS, and strong Python plus TensorFlow/PyTorch experience. You will mentor others, publish findings, shape the research roadmap, and ensure ethical AI practices.