AI Data Scientist - Deep Learning Research

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work model

Conference funding

Health coverage

Retirement contributions

Paid time off

Growth opportunities

Job summary

Placements24 is seeking an AI Data Scientist with a Deep Learning specialization to join our client in Sandton, Gauteng. You will push AI boundaries by developing novel models and algorithms to solve real-world problems.

The role involves researching architectures, training models for vision/NLP/recommendation systems, and deploying solutions with a production mindset. Strong collaboration and publication mindset are valued.

Qualifications

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven experience in deep learning research and development with a strong portfolio of projects.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Solid understanding of machine learning principles, algorithms, and statistical modeling.

Responsibilities

• Conduct research and development in deep learning, exploring new architectures and techniques.
• Design, build, and train deep learning models for computer vision, NLP, or recommendation systems.
• Analyze large-scale datasets to extract insights for model development.
• Implement and optimize deep learning models for performance and scalability.
• Collaborate with engineers and product managers to deploy models into production.

Skills

Deep learning

Python

TensorFlow

PyTorch

Keras

Education

PhD or MSc in CS/AI/ML/Statistics

Tools

TensorFlow

PyTorch

Keras

Pandas

NumPy

Job description

About the Role

Our client is a leader in AI research and development, seeking a talented AI Data Scientist with a specialization in Deep Learning to join their team in Sandton, Gauteng. This role is ideal for an individual passionate about pushing the boundaries of AI through advanced research and experimentation. You will work on challenging problems, developing novel deep learning models and algorithms to solve complex real-world issues. This is a significant opportunity to contribute to impactful AI advancements from the heart of Sandton.

Key Responsibilities

• Conduct research and development in deep learning, exploring new architectures and techniques.
• Design, build, and train deep learning models for various applications, such as computer vision, natural language processing, or recommendation systems.
• Analyze large and complex datasets to extract insights and identify patterns relevant to model development.
• Implement and optimize deep learning models for performance and scalability.
• Collaborate with engineers and product managers to deploy models into production environments.
• Stay abreast of the latest research papers, trends, and technologies in AI and deep learning.
• Present findings and research outcomes to technical and non-technical audiences.
• Contribute to the company's intellectual property through publications and patents.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven experience in deep learning research and development, with a strong portfolio of projects.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumX).
• Solid understanding of machine learning principles, algorithms, and statistical modeling.
• Experience with large-scale data processing and distributed computing environments is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, able to work effectively in a team environment in Sandton.

Benefits

• Our client offers a competitive salary, performance bonuses, and a comprehensive benefits package.
• This Hybrid role offers flexibility, allowing for a balance between working from our Sandton office and remotely.
• We foster a culture of innovation and provide excellent opportunities for professional growth, including funding for conferences and continuous learning.
• Benefits include excellent health coverage, retirement contributions, and generous paid time off.
• Join our world-class team and contribute to the future of artificial intelligence.