Senior AI/ML Engineer - Cloud Platforms

Placements24; Sandton; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work model

Health and wellness benefits

Retirement savings plan

Professional growth opportunities

Job summary

Placements24 is seeking a Senior AI/ML Engineer to lead design, development, and deployment of scalable AI solutions on major cloud platforms in a hybrid Sandton setting. You will collaborate with data scientists and software engineers to integrate ML models into production systems and optimize cloud-based ML workflows.

The ideal candidate has 6+ years in software/ML engineering with at least 4 years in cloud AI/ML, expertise in TensorFlow or PyTorch, and strong Python development skills.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• Minimum 6 years in software engineering or ML engineering, with at least 4 years in cloud-based AI/ML solutions.
• Proficiency in at least one major cloud platform (AWS, Azure, or GCP) and their AI/ML services.

Responsibilities

• Design, develop, and deploy scalable ML models and AI solutions on cloud platforms (AWS, Azure, or GCP).
• Implement and manage MLOps pipelines, including CI/CD, model deployment, monitoring, and automation.
• Collaborate with data scientists and software engineers to integrate ML models into production applications.
• Optimize cloud infrastructure and ML workflows for performance, cost, and scalability.
• Develop infrastructure as code (IaC) for managing cloud resources related to ML workloads.
• Ensure the security, reliability, and compliance of AI/ML systems deployed on cloud platforms.
• Stay current with emerging cloud technologies and ML advancements, evaluating and recommending new tools and approaches.
• Troubleshoot and resolve complex technical issues related to cloud ML deployments.

Skills

Python

ML frameworks

Cloud platforms

Data engineering

Communication

Education

Bachelor’s or Master’s in CS/Engineering/Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Terraform

CloudFormation

Job description

About the Role

Our client, a leader in AI & Emerging Technologies, is seeking a highly skilled Senior AI/ML Engineer with expertise in cloud platforms to join their dynamic team in **Sandton, Gauteng**. This hybrid role requires a blend of in-office collaboration and remote flexibility, offering an excellent opportunity to build and deploy scalable AI solutions. You will be instrumental in leveraging cloud infrastructure to accelerate the development and deployment of machine learning models. Join us in **Sandton** to work on challenging projects that push the boundaries of artificial intelligence and cloud computing.

Key Responsibilities

• Design, develop, and deploy scalable machine learning models and AI solutions on cloud platforms (AWS, Azure, or GCP).
• Implement and manage MLOps pipelines, including CI/CD, model deployment, monitoring, and automation.
• Collaborate with data scientists and software engineers to integrate ML models into production applications.
• Optimize cloud infrastructure and ML workflows for performance, cost, and scalability.
• Develop infrastructure as code (IaC) for managing cloud resources related to ML workloads.
• Ensure the security, reliability, and compliance of AI/ML systems deployed on cloud platforms.
• Stay current with emerging cloud technologies and ML advancements, evaluating and recommending new tools and approaches.
• Troubleshoot and resolve complex technical issues related to cloud ML deployments.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
• Minimum of 6 years of experience in software engineering or ML engineering, with at least 4 years focused on cloud-based AI/ML solutions.
• Proficiency in at least one major cloud platform (AWS, Azure, or GCP) and their associated AI/ML services.
• Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with containerization technologies (Docker, Kubernetes) and MLOps practices.
• Familiarity with infrastructure as code tools (e.g., Terraform, CloudFormation).
• Solid understanding of data engineering principles and database technologies.
• Excellent problem-solving, analytical, and communication skills.
• Experience working in a hybrid team environment.

Benefits

Our client offers a competitive salary, comprehensive health and wellness benefits, and a retirement savings plan. The hybrid work model provides flexibility and work-life balance. You will work on cutting-edge AI projects in **Sandton**, leveraging the latest cloud technologies. Opportunities for professional growth, continuous learning, and attending industry conferences are provided. Our client fosters a collaborative and innovative culture.