AI/ML Software Engineer - Deep Learning Applications

Placements24; Upington; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Professional development

Flexible working hours

Collaborative team

Job summary

Placements24 is seeking an AI/ML Software Engineer specializing in Deep Learning to design, train, and deploy sophisticated models in production. You will build scalable ML pipelines, collaborate with researchers, and optimize for performance while applying MLOps practices in a fully remote role.

The ideal candidate has strong software engineering skills, extensive experience with TensorFlow/PyTorch/Keras, and cloud/container skills (AWS/Azure/GCP, Docker, Kubernetes).

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Experience building and deploying deep learning models with TensorFlow, PyTorch, or Keras.
• Strong Python programming skills and software engineering practices.
• Solid understanding of deep learning architectures, algorithms, and math foundations.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent problem-solving and teamwork; strong communication in a remote environment.

Responsibilities

• Design, train, and deploy deep learning models for production use.
• Develop scalable ML pipelines and inference engines.
• Collaborate with data scientists to translate research into production solutions.
• Optimize model performance for speed, accuracy, and resources.
• Implement and maintain MLOps for deployment and monitoring.

Skills

TensorFlow

PyTorch

Keras

Python

MLOps

AWS/Azure/GCP

Docker

Kubernetes

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Job description

About the Role

Our client is seeking a skilled AI/ML Software Engineer with a specialization in Deep Learning Applications to join their innovative technology division. This role is focused on developing, implementing, and deploying sophisticated deep learning models into production environments. You will work on challenging projects, leveraging cutting-edge AI techniques to solve real-world problems across various domains. The ideal candidate possesses strong software engineering skills combined with a deep understanding of deep learning algorithms and frameworks. This is an exciting opportunity to contribute to the advancement of AI and machine learning, working within a dynamic team that values innovation and technical excellence. The remote nature of this role offers flexibility and the chance to collaborate with a diverse talent pool.

Key Responsibilities

• Design, build, train, and deploy deep learning models for various applications.
• Develop efficient and scalable code for machine learning pipelines and inference engines.
• Collaborate with data scientists and researchers to translate research prototypes into production-ready solutions.
• Optimize model performance for speed, accuracy, and resource utilization.
• Implement and maintain MLOps practices for seamless model deployment and monitoring.
• Write clean, well-documented, and maintainable code.
• Stay current with the latest advancements in deep learning and AI research.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Proven experience in developing and deploying deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python and experience with software engineering best practices.
• Solid understanding of deep learning architectures, algorithms, and mathematical foundations.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus.
• Excellent problem-solving skills and the ability to work effectively in a team.
• Strong communication skills, enabling effective collaboration in a remote environment.

Benefits

• Competitive salary and performance bonuses.
• Comprehensive health and retirement benefits.
• Opportunities for professional growth, training, and attending conferences.
• Access to state-of-the-art tools and technologies.
• A collaborative and innovative work culture.
• Full remote work flexibility, enabling a strong work-life balance.
• Opportunity to work on impactful and cutting-edge AI projects.