Senior Deep Learning Engineer

Placements24; Sandton; Hybrid; ZAR 1,994,000 - 2,991,000; Full time

Benefits offered by this job

Remote work

Health coverage

Research funding

Conference/workshop training

Job summary

Placements24 seeks a Senior Deep Learning Engineer for a fully remote role, joining a globally distributed team to push the boundaries of AI research and production deployment. You will design and deploy advanced models, collaborating with researchers and engineers across locations.

The ideal candidate has a Ph.D. or Master’s in a quantitative field, 5+ years in deep learning, strong Python and framework skills (TensorFlow, PyTorch, JAX), and experience deploying models in production.

Qualifications

• Ph.D. or Master's degree in Computer Science, Machine Learning, or a related quantitative field with a focus on deep learning.
• Minimum of 5 years of professional experience in deep learning engineering or research.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong programming skills in Python and experience with NumPy, Pandas, SciPy.

Responsibilities

• Design, develop, and implement state of the art deep learning models and algorithms for various applications.
• Train, evaluate, and optimize deep learning models using large scale datasets.
• Collaborate with research scientists and engineers to translate research concepts into production ready code.
• Deploy deep learning models into production environments, ensuring scalability, performance, and reliability.
• Stay current with the latest advancements and research in deep learning, neural networks, and related fields.
• Contribute to the architectural design and implementation of deep learning infrastructure.
• Mentor junior engineers and contribute to knowledge sharing within the team.
• Analyze model performance, identify areas for improvement, and implement enhancements.
• Document models, experiments, and deployment procedures thoroughly.

Skills

Deep learning

Python programming

Communication

Collaboration

Mentoring

Education

Ph.D. or Master's in Computer Science/ML

Tools

TensorFlow

PyTorch

JAX

NumPy

Pandas

SciPy

AWS

Azure

GCP

MLOps

Job description

About the Role

Our client is a global leader in AI & Emerging Technologies and is looking for a highly skilled Senior Deep Learning Engineer to join their fully remote team. This position offers the opportunity to work on cutting edge deep learning research and development, pushing the boundaries of artificial intelligence. You will design, implement, and deploy advanced deep learning models for complex problems, contributing to revolutionary products and services. The ideal candidate possesses a strong theoretical foundation in deep learning, extensive practical experience, and a passion for innovation. As a remote first employee, you will collaborate with a world class, geographically dispersed team, bringing your expertise to shape the future of AI from anywhere.

Key Responsibilities

• Design, develop, and implement state of the art deep learning models and algorithms for various applications.
• Train, evaluate, and optimize deep learning models using large scale datasets.
• Collaborate with research scientists and engineers to translate research concepts into production ready code.
• Deploy deep learning models into production environments, ensuring scalability, performance, and reliability.
• Stay current with the latest advancements and research in deep learning, neural networks, and related fields.
• Contribute to the architectural design and implementation of deep learning infrastructure.
• Mentor junior engineers and contribute to knowledge sharing within the team.
• Analyze model performance, identify areas for improvement, and implement enhancements.
• Document models, experiments, and deployment procedures thoroughly.

Requirements

• Ph.D. or Master's degree in Computer Science, Machine Learning, or a related quantitative field with a focus on deep learning.
• Minimum of 5 years of professional experience in deep learning engineering or research.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, Pandas, SciPy).
• Proven experience in deploying deep learning models into production environments.
• Solid understanding of various neural network architectures (e.g., CNNs, RNNs, Transformers) and their applications.
• Experience with cloud computing platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
• Excellent analytical, problem solving, and algorithmic thinking skills.
• Strong communication and collaboration skills, with experience working in remote teams.

Benefits

Our client offers a highly competitive salary, significant bonus potential, and a comprehensive benefits package, including extensive health coverage and retirement planning. As a fully remote position, you'll enjoy unparalleled flexibility and the ability to work from anywhere. We provide ample opportunities for professional growth, including access to cutting edge research, funding for training and conferences, and a collaborative environment with world renowned experts. Our client fosters a culture of innovation, intellectual curiosity, and impactful problem solving. You will work on projects that have the potential to redefine industries and improve lives globally. Join our client and contribute your deep learning expertise to the forefront of AI innovation, from anywhere, impacting the world far beyond Sandton.