Senior AI Research Scientist - Machine Learning

Placements24

Midrand

On-site

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

Full time

4 days ago
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Benefits offered by this job

Performance bonuses
Health insurance
Pension plan
Generous PTO
Conference access
Research facilities

Job summary

Placements24 invites applications for a Senior AI Research Scientist to join our client in Midrand, Gauteng. The role blends research and development, pushing state-of-the-art ML and deep learning techniques to real-world AI products.

You will work with world-class researchers to design, implement, and evaluate models, datasets, and systems. We expect a strong theoretical foundation, 5+ years in AI research, and proven results across CNNs, RNNs, Transformers and RL.

Qualifications

  • Master's or PhD in Computer Science, AI, ML or related field.
  • 5+ years of hands-on AI research and development in ML.
  • Proficiency in Python with ML libraries such as TensorFlow, PyTorch, Scikit-learn.
  • Strong understanding of CNNs, RNNs, Transformers, and reinforcement learning.

Responsibilities

  • Design, develop, and implement advanced machine learning models and algorithms.
  • Conduct rigorous research into novel AI techniques and their applications.
  • Analyze and interpret large, complex datasets to extract insights and improve models.
  • Collaborate with software engineers and product managers to integrate AI solutions into production systems.
  • Stay up-to-date with the latest AI research and publish findings.

Skills

Python
ML libraries
Deep learning
Research skills

Education

Master's or PhD in CS/AI/ML

Tools

TensorFlow
PyTorch
Scikit-learn
Spark
Hadoop

Job description

About the Role

Our client, a leading innovator in artificial intelligence, is seeking a highly skilled and experienced Senior AI Research Scientist to join their dynamic team in Midrand, Gauteng. This pivotal role will involve pushing the boundaries of machine learning and deep learning to develop cutting-edge AI solutions. The successful candidate will contribute to groundbreaking projects, leveraging vast datasets and sophisticated algorithms to solve complex real-world problems. This is an exciting opportunity to work in a collaborative environment, alongside world-class researchers and engineers, and to make a significant impact on the future of AI. The position offers a unique blend of research and development, providing ample opportunity for professional growth and innovation within the AI & Emerging Technologies sector. You will be instrumental in shaping the direction of our client's AI strategy and product roadmap. The ideal candidate will possess a strong theoretical foundation in AI and a proven track record of delivering impactful results.

Key Responsibilities
  • Design, develop, and implement advanced machine learning models and algorithms.
  • Conduct rigorous research into novel AI techniques and their potential applications.
  • Analyze and interpret large, complex datasets to extract meaningful insights and drive model improvements.
  • Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into production systems.
  • Stay abreast of the latest advancements in AI, machine learning, and deep learning literature and conferences.
  • Develop and maintain clear documentation for research findings, models, and algorithms.
  • Present research results and project updates to technical and non-technical stakeholders.
  • Mentor junior researchers and contribute to a culture of continuous learning and knowledge sharing.
Requirements
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • 5+ years of hands-on experience in AI research and development, with a focus on machine learning.
  • Proficiency in programming languages such as Python, with extensive experience using ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of statistical modeling, deep learning architectures (CNNs, RNNs, Transformers), and reinforcement learning.
  • Experience with big data technologies and distributed computing frameworks (e.g., Spark, Hadoop).
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Proven ability to work independently and as part of a team in a fast-paced environment.
  • Strong communication and presentation skills.
Benefits
  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and holidays.
  • Opportunities for professional development, including attending conferences and workshops.
  • Access to state-of-the-art research facilities and computing resources.
  • Collaborative and innovative work environment in Midrand, Gauteng.
  • Potential for career advancement within a rapidly growing tech company.
  • Pension fund contributions.
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