AI Research Engineer

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Advanced computing resources

Professional growth opportunities

Job summary

Placements24 seeks an AI Research Engineer to bridge theoretical AI research with practical applications in Port Elizabeth. You will design and implement novel algorithms and collaborate with a multidisciplinary team to integrate research prototypes into larger systems.

The role requires 3+ years of AI R&D, strong Python skills, and familiarity with TensorFlow/PyTorch. A hybrid work model offers flexibility with in-person collaboration and access to advanced computing resources.

Qualifications

• Master's degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
• 3+ years of experience in AI research and development.
• Strong programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch).
• Solid understanding of AI algorithms, data structures, and software engineering principles.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Ability to work effectively in a team and contribute to collaborative research efforts.

Responsibilities

• Conduct research and development in advanced AI fields, such as deep learning, natural language processing, or computer vision.
• Implement and prototype novel AI algorithms and models using Python and relevant ML frameworks.
• Collaborate with other engineers and researchers to integrate research prototypes into larger systems.
• Evaluate and optimize the performance of AI models and algorithms.
• Stay updated on the latest AI research and technological advancements.
• Document research findings and contribute to technical publications or internal reports.

Skills

Python

TensorFlow

PyTorch

ML concepts

Education

Master's or PhD in CS/AI

Job description

About the Role

Our client, a pioneer in AI & Emerging Technologies , is seeking a talented AI Research Engineer to join their innovative team in Port Elizabeth . This role focuses on bridging the gap between theoretical AI research and practical application, developing novel algorithms and systems that push the boundaries of what's possible. You will collaborate with a multidisciplinary team, contributing to the design and implementation of cutting-edge AI solutions. This is an exciting opportunity for an individual passionate about AI research and development, eager to apply their skills in a dynamic environment, contributing to impactful projects while working within a hybrid model that balances flexibility with in-person collaboration.

Key Responsibilities

• Conduct research and development in advanced AI fields, such as deep learning, natural language processing, or computer vision.
• Implement and prototype novel AI algorithms and models using Python and relevant ML frameworks.
• Collaborate with other engineers and researchers to integrate research prototypes into larger systems.
• Evaluate and optimize the performance of AI models and algorithms.
• Stay updated on the latest AI research and technological advancements.
• Document research findings and contribute to technical publications or internal reports.

Requirements

• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
• 3+ years of experience in AI research and development.
• Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch).
• Solid understanding of AI algorithms, data structures, and software engineering principles.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Ability to work effectively in a team and contribute to collaborative research efforts.

Benefits

• Competitive compensation package.
• Comprehensive health and wellness benefits.
• Opportunities for continuous learning and professional growth.
• Hybrid work model offering flexibility and collaborative engagement in Port Elizabeth .
• Access to advanced computing resources and research facilities.