Senior AI/ML Engineer - Deep Learning

Placements24; South Africa; Hybride; ZAR 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Provident fund

Performance incentives

Annual leave

Development budget

Advanced computing resources

Hybrid schedule

Career growth

Résumé du poste

Placements24 in Pretoria, Gauteng, ZA seeks a Senior AI/ML Engineer specializing in Deep Learning to design, build, and deploy advanced DL models. You will work with data scientists, software engineers, and product managers in a hybrid environment to drive AI initiatives.

The ideal candidate has a strong ML/DL background with hands-on model deployment experience and stays current with research trends. Hybrid work enables collaboration while allowing focused remote work.

Qualifications

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of professional experience in AI/ML engineering, with a strong focus on deep learning.
• Proven experience in building and deploying deep learning models in production environments.
• Proficiency in Python and relevant deep learning libraries (TensorFlow, PyTorch, Keras).
• Solid understanding of various neural network architectures (CNNs, RNNs, Transformers).
• Experience with data processing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Experience working within a hybrid work model is a plus.
• Knowledge of MLOps practices is advantageous.

Responsabilités

• Design, develop, train, and deploy deep learning models for various applications (e.g., computer vision, natural language processing).
• Implement and optimize neural network architectures using deep learning frameworks like TensorFlow or PyTorch.
• Collaborate with data scientists to preprocess, clean, and analyze large datasets for model training.
• Develop and maintain robust ML pipelines for model deployment, monitoring, and retraining.
• Conduct experiments, evaluate model performance, and identify areas for improvement.
• Stay up-to-date with the latest research and advancements in deep learning and AI.
• Work closely with software engineering teams to integrate AI models into production systems.
• Contribute to the technical roadmap and strategy for AI/ML initiatives.
• Mentor junior engineers and share knowledge across the team.
• Ensure the scalability and efficiency of AI/ML solutions.

Connaissances

Python

TensorFlow

PyTorch

Keras

CNNs

RNNs

Transformers

Formation

Master's or Ph.D. in Computer Science, AI, or related field

Outils

TensorFlow

PyTorch

Keras

AWS

Azure

GCP

Description du poste

About the Role

Our client is a forward-thinking technology firm located in Pretoria, Gauteng, ZA, seeking an experienced Senior AI/ML Engineer specializing in Deep Learning to join their innovative research and development division. This role offers a unique opportunity to work on cutting-edge AI projects, contributing to the development of intelligent systems that solve complex real-world problems. The company operates on a hybrid work model, allowing for a blend of focused remote work and collaborative in-office sessions. You will be instrumental in designing, building, and deploying advanced deep learning models, working closely with data scientists, software engineers, and product managers. The ideal candidate will have a strong theoretical foundation in machine learning and deep learning, coupled with hands-on experience in implementing and optimizing neural networks. Your expertise will be critical in driving innovation and delivering high-performance AI solutions. This position demands a passion for tackling challenging technical problems, a commitment to continuous learning, and the ability to thrive in a dynamic, collaborative environment. You will have the chance to significantly influence the direction of AI development within the organization and contribute to impactful projects that push the boundaries of current technology. This is an exciting chance to grow your career within a supportive and forward-looking company.

Key Responsibilities

• Design, develop, train, and deploy deep learning models for various applications (e.g., computer vision, natural language processing).
• Implement and optimize neural network architectures using deep learning frameworks like TensorFlow or PyTorch.
• Collaborate with data scientists to preprocess, clean, and analyze large datasets for model training.
• Develop and maintain robust ML pipelines for model deployment, monitoring, and retraining.
• Conduct experiments, evaluate model performance, and identify areas for improvement.
• Stay up-to-date with the latest research and advancements in deep learning and AI.
• Work closely with software engineering teams to integrate AI models into production systems.
• Contribute to the technical roadmap and strategy for AI/ML initiatives.
• Mentor junior engineers and share knowledge across the team.
• Ensure the scalability and efficiency of AI/ML solutions.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of professional experience in AI/ML engineering, with a strong focus on deep learning.
• Proven experience in building and deploying deep learning models in production environments.
• Proficiency in Python and relevant deep learning libraries (TensorFlow, PyTorch, Keras).
• Solid understanding of various neural network architectures (CNNs, RNNs, Transformers).
• Experience with data processing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Experience working within a hybrid work model is a plus.
• Knowledge of MLOps practices is advantageous.

Benefits

• Competitive annual salary up to ZAR.
• Comprehensive medical and dental insurance plans.
• Contribution to a provident fund.
• Performance-based incentives and bonuses.
• Generous annual leave allowance.
• Professional development opportunities and conference attendance budget.
• Access to advanced computing resources and datasets.
• Flexible hybrid work schedule.
• Collaborative team environment focused on innovation.
• Opportunities for career growth and advancement within the company.