Senior AI Data Scientist - Deep Learning Research

Placements24; Benoni; Hybrid; ZAR 800,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Medical, dental, vision insurance

Professional development & conference支

Ample paid time off

State-of-the-art facilities

Hybrid work arrangements

Retirement fund contributions

Team-building events

Job summary

Placements24 seeks a Senior AI Data Scientist specialized in Deep Learning Research in Benoni, Gauteng. Lead pioneering research, develop state-of-the-art models, and publish findings. Collaborate with engineers and domain experts to translate research into practical AI solutions.

The role emphasizes a strong theoretical base, Python proficiency, and experience with TensorFlow/PyTorch. Hybrid work options may be considered for the right candidate.

Qualifications

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven track record of research and development in deep learning, evidenced by publications.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python and experience with scientific computing libraries (e.g., NumPy, SciPy, Pandas).
• Deep understanding of machine learning theory, algorithms, and statistical modeling.
• Experience with data analysis, visualization, and large-scale data handling.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
• Must be eligible to work in South Africa and reside in or be willing to relocate to the Benoni, Gauteng area.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.

Responsibilities

• Conduct advanced research in deep learning architectures, algorithms, and applications.
• Develop, train, and evaluate sophisticated deep learning models for various AI tasks (e.g., NLP, computer vision, reinforcement learning).
• Design and implement experiments to test hypotheses and validate research findings.
• Collaborate with cross-functional teams to translate research into practical solutions.
• Stay abreast of the latest academic and industry advancements in deep learning and AI.
• Publish research findings in top-tier conferences and journals, and present work internally and externally.
• Mentor junior data scientists and researchers.
• Contribute to the development of robust data pipelines and MLOps practices for research projects.
• Analyze large and complex datasets to extract insights and inform model development.
• Maintain high-quality code and documentation for research reproducibility.

Skills

Deep learning research

Publications track record

Python programming

ML theory & algorithms

Data analysis & visualization

Large-scale data handling

Communication & collaboration

Cloud platforms experience

Education

PhD or Master's degree in Computer Science / AI / ML / Statistics

Tools

TensorFlow

PyTorch

Keras

NumPy

SciPy

Pandas

Job description

About the Role

Our client, a leader in the AI & Emerging Technologies landscape, is seeking a highly accomplished Senior AI Data Scientist specializing in Deep Learning Research. This role, based in our client's Benoni, Gauteng office, offers an unparalleled opportunity to conduct pioneering research and develop state-of-the-art deep learning models. You will be instrumental in tackling complex challenges and driving innovation within the field of artificial intelligence. Our client is committed to fostering an environment where intellectual curiosity thrives and groundbreaking discoveries are made. This position requires a blend of strong theoretical knowledge and practical implementation skills, contributing significantly to our client's research agenda. If you are passionate about advancing the frontiers of deep learning and contributing to impactful AI solutions, this role in Benoni, Gauteng is an excellent career move. Join us to shape the future of intelligent systems.

Key Responsibilities

• Conduct advanced research in deep learning architectures, algorithms, and applications.
• Develop, train, and evaluate sophisticated deep learning models for various AI tasks (e.g., NLP, computer vision, reinforcement learning).
• Design and implement experiments to test hypotheses and validate research findings.
• Collaborate with cross-functional teams, including engineers and domain experts, to translate research into practical solutions.
• Stay abreast of the latest academic and industry advancements in deep learning and AI.
• Publish research findings in top-tier conferences and journals, and present work internally and externally.
• Mentor junior data scientists and researchers.
• Contribute to the development of robust data pipelines and MLOps practices for research projects.
• Analyze large and complex datasets to extract insights and inform model development.
• Maintain high-quality code and documentation for research reproducibility.

Requirements

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven track record of research and development in deep learning, evidenced by publications in leading peer-reviewed venues.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python and experience with scientific computing libraries (e.g., NumPy, SciPy, Pandas).
• Deep understanding of machine learning theory, algorithms, and statistical modeling.
• Experience with data analysis, visualization, and large-scale data handling.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
• Must be eligible to work in South Africa and reside in or be willing to relocate to the Benoni, Gauteng area.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive medical, dental, and vision insurance.
• Generous opportunities for professional development, including conference attendance.
• Ample paid time off and company holidays.
• Access to state-of-the‑art research facilities and computing resources.
• A stimulating work environment that encourages innovation and discovery.
• Contribution to cutting-edge AI research with real-world impact.
• Potential for hybrid work arrangements to promote work-life balance.
• Retirement fund contributions and other attractive benefits.
• Regular team‑building events and social activities.