Remote Senior Deep Learning Engineer

Placements24; Stellenbosch; Hybrid; ZAR 2,495,000 - 3,493,000; Full time

Benefits offered by this job

Stock options

Remote work with flexible hours

Equipment provided

Job summary

Placements24 is seeking a Senior Deep Learning Engineer for a remote-first role. You will design, implement, and optimize advanced DL models, collaborating with a global team of researchers and engineers.

The position emphasizes asynchronous communication and cutting-edge AI projects from anywhere, with roots in Stellenbosch, Western Cape. You will deploy models to production, explore novel architectures, and mentor junior engineers while maintaining high coding standards and documentation.

Qualifications

• Master's or Ph.D. in Computer Science, machine learning, or a related field.
• 5+ years of professional experience in deep learning engineering.
• Expertise in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong theoretical understanding of neural networks (CNNs, RNNs, Transformers, generative models).
• Experience deploying and managing deep learning models in production; familiarity with MLOps.
• Excellent problem-solving and analytical skills; strong remote collaboration and communication.

Responsibilities

• Design, develop, and train state-of-the-art deep learning models for various applications.
• Implement and optimize deep learning algorithms for performance and scalability.
• Conduct research into novel deep learning architectures and techniques.
• Collaborate with a globally distributed team of researchers and engineers.
• Deploy deep learning models into production environments using MLOps best practices.
• Analyze large-scale datasets to inform model development and stay updated on DL research trends.
• Mentor junior engineers and contribute to technical knowledge sharing.
• Write clean, efficient, and well-documented code.

Job description

About the Role

Our client, a global leader in AI research and development, is seeking an exceptional Senior Deep Learning Engineer to join their fully remote team. This position offers the unparalleled advantage of working from anywhere, contributing to groundbreaking projects in AI & Emerging Technologies. You will be instrumental in designing, implementing, and optimizing advanced deep learning models that push the boundaries of what's possible. The role requires a deep understanding of neural network architectures, training methodologies, and deployment strategies. You will collaborate with a distributed team of world-class researchers and engineers, leveraging vast datasets and cutting-edge computational resources. This is a remote-first opportunity, emphasizing asynchronous communication and collaborative tools to foster seamless teamwork. If you are passionate about deep learning and thrive in a remote, innovative environment, this role is for you. Join us in shaping the future of artificial intelligence from the comfort of your home office, irrespective of your location, but with a focus on innovation originating from our Stellenbosch, Western Cape roots.

Key Responsibilities

• Design, develop, and train state-of-the-art deep learning models for various applications.
• Implement and optimize deep learning algorithms for performance and scalability.
• Conduct research into novel deep learning architectures and techniques.
• Collaborate effectively with a globally distributed team of researchers and engineers.
• Deploy deep learning models into production environments using MLOps best practices.
• Analyze and interpret large-scale datasets to inform model development.
• Stay current with the latest advancements in deep learning research and industry trends.
• Mentor junior engineers and contribute to technical knowledge sharing.
• Write clean, efficient, and well-documented code.

Requirements

• Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
• 5+ years of professional experience in deep learning engineering.
• Expertise in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong theoretical understanding of neural networks, including CNNs, RNNs, Transformers, and generative models.
• Proven experience in deploying and managing deep learning models in production.
• Familiarity with MLOps tools and practices.
• Excellent problem-solving and analytical skills.
• Demonstrated ability to work independently and collaborate effectively in a remote team setting.
• Strong communication skills for remote collaboration.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous stock options package.
• Fully remote work arrangement with flexible hours.
• Dedicated budget for professional development, conferences, and online courses.
• Opportunity to work on cutting-edge AI & Emerging Technologies projects.
• Company-provided equipment and home office stipend.
• Collaborative and intellectually stimulating remote work culture.