Senior Deep Learning Engineer (Remote)

Placements24; Stellenbosch; Hybrid; ZAR 900,000 - 1,600,000; Full time

Benefits offered by this job

Remote work

Conference & training budget

Professional development

Job summary

Placements24 is seeking a Senior Deep Learning Engineer to join a remote-first AI research team. You design, implement, and optimize deep neural networks, collaborating with researchers to turn novel ideas into production-ready solutions. Strong expertise in DL frameworks and cloud-based distributed training is required.

The role emphasizes mentorship, cutting-edge experiments, and developing scalable DL pipelines, with a competitive salary and a culture of innovation for remote talents.

Qualifications

• PhD or Master’s in Computer Science, Machine Learning or related field.
• 5+ years hands-on developing and deploying DL models.
• Expertise in TensorFlow, PyTorch, or Keras.
• Strong understanding of CNNs, RNNs, Transformers, etc.
• Proficient in Python and scientific libraries (NumPy, SciPy).
• Experience with cloud platforms and distributed training.
• Strong analytical, problem-solving and remote communication skills.

Responsibilities

• Design, implement, and train deep neural networks.
• Optimize model performance for speed and accuracy.
• Conduct rigorous experiments and validation of models.
• Collaborate with researchers to translate ideas into implementations.
• Develop and maintain robust DL pipelines and infra.
• Stay updated with advances in DL and apply them.
• Contribute to AI system architecture and mentor junior engineers.

Skills

Deep learning

Python programming

Cloud computing

Distributed training

Research collaboration

Education

PhD or Master's in CS/ML

Tools

TensorFlow

PyTorch

Keras

NumPy

SciPy

AWS

GCP

Azure

Job description

About the Role

Our client, a cutting-edge AI research lab, is actively recruiting for a Senior Deep Learning Engineer to join their established fully remote workforce. This is an exceptional opportunity to contribute to groundbreaking research and the development of advanced deep learning models that push the frontiers of artificial intelligence. You will play a crucial role in designing, implementing, and optimizing complex neural networks for a variety of challenging applications. As a remote-first position, you will have the flexibility to work from anywhere, collaborating closely with a world-class team of researchers and engineers dedicated to innovation and scientific advancement.

Key Responsibilities

• Design, implement, and train deep neural network architectures for various AI tasks.
• Optimize model performance for speed, scalability, and accuracy using advanced techniques.
• Conduct rigorous experimentation and validation of deep learning models.
• Collaborate with research scientists to translate novel ideas into practical implementations.
• Develop and maintain robust deep learning pipelines and infrastructure.
• Stay abreast of the latest advancements in deep learning research and apply them to practical problems.
• Contribute to the architecture and design of AI systems requiring deep learning components.
• Mentor junior engineers and contribute to the team's technical growth.

Requirements

• Ph.D. or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in developing and deploying deep learning models.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of various neural network architectures (CNNs, RNNs, Transformers, etc.).
• Proficiency in Python and experience with scientific computing libraries (NumPy, SciPy).
• Experience with cloud computing platforms (AWS, GCP, Azure) and distributed training.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills, particularly in a remote setting.

Benefits

This fully remote role offers a highly competitive salary and bonus structure, commensurate with your experience and expertise. Our client provides access to state-of-the-art computational resources and funding for professional development, including conferences and training. You will have the autonomy to work from your preferred location while contributing to impactful, high-visibility projects. We foster a culture of scientific curiosity, innovation, and continuous learning. This is an excellent opportunity to advance your career in deep learning within a supportive and forward-thinking organization that values its remote talent. Our client is committed to providing a stimulating and rewarding work experience for all employees, regardless of location.