Remote Deep Learning Specialist - Research & Development

Placements24; Mbombela (Nelspruit); Ibrido; ZAR 1.976.000 - 2.964.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully remote

Flexible hours

Development budget

Paid time off

Descrizione del lavoro

Placements24 is assisting a research institution in recruiting a Remote Deep Learning Specialist to advance AI research from anywhere. You will design, implement, and evaluate state-of-the-art deep learning models, with emphasis on CNNs, Transformers, and generative models.

The role suits someone with a strong ML theory background, excellent coding skills, and a track record of publishing or delivering research outcomes.

Competenze

• Ph.D. or Master's in Computer Science, Artificial Intelligence, ML, or related field.
• 3+ years hands-on experience in deep learning research and development.
• Strong theoretical understanding of deep learning: CNNs, RNNs, Transformers, generative models.

Mansioni

• Conduct research and development in advanced deep learning architectures and algorithms.
• Train deep neural networks for tasks such as image recognition, language understanding, and reinforcement learning.
• Experiment with novel techniques to advance state-of-the-art in deep learning.
• Collaborate with researchers and engineers on interdisciplinary projects.
• Publish findings in leading AI conferences and journals.

Conoscenze

Deep learning research

Python programming

TensorFlow

PyTorch

Keras

CNNs

RNNs

Transformers

Generative models

Formazione

PhD or Master's in CS/AI

Strumenti

Keras

Descrizione del lavoro

About the Role

Our client, a highly respected research institution at the forefront of AI innovation, is seeking a dedicated Remote Deep Learning Specialist to join their R&D team. This position is fully remote, offering the opportunity to contribute to groundbreaking research from anywhere. You will focus on designing, implementing, and experimenting with state-of-the-art deep learning models for various complex problems. The ideal candidate has a strong theoretical background in machine learning and deep learning, exceptional coding skills, and a proven ability to drive research projects from conception to publication or implementation. This is a unique chance to work alongside world-class researchers and make significant contributions to the field of artificial intelligence.

Key Responsibilities

• Conduct research and development in advanced deep learning architectures and algorithms.
• Design, implement, and train deep neural networks for tasks such as image recognition, natural language understanding, and reinforcement learning.
• Experiment with novel techniques and approaches to advance the state-of-the-art in deep learning.
• Analyze large and complex datasets to extract insights and inform model development.
• Collaborate with other researchers and engineers on interdisciplinary projects.
• Stay up-to-date with the latest academic research and industry trends in deep learning.
• Publish findings in leading AI conferences and journals.
• Develop prototypes and proof-of-concepts for new AI capabilities.
• Optimize deep learning models for performance and efficiency.
• Contribute to the overall research strategy and direction of the team.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• 3+ years of hands-on experience in deep learning research and development.
• Strong theoretical understanding of deep learning principles, including CNNs, RNNs, Transformers, and generative models.
• Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Experience in data preprocessing, feature engineering, and model evaluation.
• Strong mathematical and statistical background.
• Excellent research, analytical, and problem-solving skills.
• Strong publication record in reputable AI venues is highly desirable.
• Ability to work independently and effectively in a remote team environment.
• Excellent written and verbal communication skills.

Benefits

• Highly competitive compensation package.
• Fully remote work opportunity with flexible hours.
• Generous professional development budget for conferences and courses.
• Contribution to cutting-edge research with real-world impact.
• Collaborative environment with leading AI experts.
• Opportunity to publish and present research findings.
• Comprehensive health and wellness benefits.
• Paid time off and holidays.