AI/ML Engineer - Deep Learning Specialist

Placements24; Mossel Bay; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Performance incentives

Learning opportunities

Job summary

Placements24 in Mossel Bay, Western Cape, is seeking an experienced AI/ML Engineer with a Deep Learning focus to join our innovative team. You will develop and deploy advanced models powering next‑generation applications, working across the full ML lifecycle.

The ideal candidate has a strong theoretical grounding and practical experience, excels in Python and DL frameworks, and thrives in a collaborative, fast‑paced environment.

Qualifications

• Bachelor’s or Master’s in CS/Engineering or related field.
• 3+ years of hands-on deep learning model development and deployment.
• Proficiency in Python and DL frameworks (TensorFlow, PyTorch, Keras).
• Strong knowledge of CNNs, RNNs, Transformers and their applications.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (AWS/Azure/GCP) and Docker is a plus.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, implement, and optimize deep learning models for CV, NLP, or RL.
• Work with large datasets and build robust data preprocessing pipelines.
• Collaborate with engineers and PMs to productionize ML models.
• Test and evaluate models for performance, accuracy, and scalability.
• Stay current with DL/AI research and document models and processes.
• Troubleshoot deployment issues and improve ML infrastructure.

Skills

Python

TensorFlow

PyTorch

Keras

Deep Learning

CNNs

RNNs

Transformers

Education

Bachelor's or Master's in CS/Engineering or related field

Tools

Docker

AWS

Azure

GCP

Job description

About the Role

Our client, a cutting-edge technology firm, is seeking an exceptional AI/ML Engineer with a specialization in Deep Learning to join their innovative team in Mossel Bay, Western Cape . This role is central to developing and implementing advanced deep learning models that power next-generation applications. You will be involved in the full ML lifecycle, from data preparation and model training to deployment and performance tuning. The ideal candidate possesses a strong theoretical understanding of deep learning concepts and practical experience in building and deploying complex models. This is a fantastic opportunity to contribute to impactful projects in AI and emerging technologies within a collaborative and dynamic environment. Be part of shaping the future from the beautiful coastal region of the Western Cape .

Key Responsibilities

• Design, implement, and optimize deep learning models for various applications, including computer vision, natural language processing, or reinforcement learning.
• Work with large-scale datasets, ensuring data quality and implementing effective data preprocessing pipelines.
• Collaborate with software engineers and product managers to integrate ML models into production systems.
• Conduct rigorous testing and evaluation of models to ensure performance, accuracy, and scalability.
• Stay current with the latest research and advancements in deep learning and AI.
• Develop and maintain documentation for models, algorithms, and processes.
• Troubleshoot and resolve issues related to model performance and deployment.
• Contribute to the continuous improvement of the team's AI/ML infrastructure and workflows.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of hands-on experience in developing and deploying deep learning models.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of various neural network architectures (e.g., CNNs, RNNs, Transformers) and their applications.
• Experience with data manipulation, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (e.g., Docker) is a plus.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Good communication skills to articulate technical concepts effectively.

Benefits

• competitive salary
• comprehensive health and wellness benefits
• performance incentives
• opportunities for continuous learning and career advancement

You will work in a stimulating environment with access to advanced tools and technologies. This role in Mossel Bay, Western Cape , offers a unique blend of professional challenge and a desirable lifestyle. We foster a culture of innovation and provide support for professional development. Join our team and contribute to groundbreaking AI initiatives. This is an excellent career opportunity in South Africa .