Senior Machine Learning Engineer - Cloud AI

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,600,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Fully remote work environment

Professional development opportunities

Career advancement in cloud AI

Job summary

Placements24 is seeking a Senior Machine Learning Engineer to join a fully remote team focused on designing, deploying, and scaling ML systems in the cloud. You will build robust ML pipelines, train models, and drive production readiness with modern MLOps practices.

The role requires deep Python expertise and hands-on experience with TensorFlow, PyTorch, and scikit-learn, plus cloud services from AWS/Azure/GCP. Strong collaboration and communication are essential.

Qualifications

• Master's degree or Ph.D. in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in machine learning engineering or a similar role.
• Proven experience building and deploying ML models in production environments on cloud platforms.
• Strong proficiency in Python and experience with ML libraries (scikit-learn, TensorFlow, PyTorch).
• Extensive experience with cloud platforms such as AWS, Azure, or GCP, including their ML services (SageMaker, Azure ML, Vertex AI).
• Solid understanding of software engineering principles, data structures, and algorithms.
• Experience with MLOps tools and practices (Docker, Kubernetes, CI/CD pipelines).
• Excellent problem-solving, analytical, and communication skills.
• Demonstrated ability to work effectively in a remote, collaborative team environment.

Responsibilities

• Design, build, and maintain scalable machine learning systems and pipelines.
• Develop, train, and deploy ML models, ensuring they meet performance and reliability standards.
• Optimize ML models for efficiency, scalability, and performance in cloud environments.
• Collaborate with data scientists, software engineers, and product managers to deliver end-to-end ML solutions.
• Implement MLOps best practices for CI/CD, monitoring of ML models.
• Troubleshoot and resolve issues related to ML model performance and infrastructure.
• Stay abreast of the latest advancements in ML, cloud computing, and MLOps.
• Contribute to the architectural design of new ML features and platforms.
• Ensure the security and compliance of ML systems.

Skills

5+ years of ML engineering experience

Education

Master's or PhD in CS/Engineering

Tools

AWS

Azure

GCP

SageMaker

Azure ML

Vertex AI

Docker

Kubernetes

CI/CD

Job description

About the Role

Our client, a globally recognized leader in AI innovation, is seeking a highly skilled Senior Machine Learning Engineer to join their fully remote team. This role is crucial for the design, development, and deployment of advanced machine learning models and systems that operate on cloud infrastructure. You will be instrumental in building scalable, efficient, and robust ML solutions that power cutting-edge products and services. The ideal candidate will possess a strong background in software engineering, machine learning principles, and significant experience with cloud platforms. This is an exceptional opportunity for a motivated engineer to work remotely and contribute to impactful projects, driving the future of AI on a global scale, from the comfort of their home environment.

Key Responsibilities

• Design, build, and maintain scalable machine learning systems and pipelines.
• Develop, train, and deploy ML models, ensuring they meet performance and reliability standards.
• Optimize ML models for efficiency, scalability, and performance in cloud environments.
• Collaborate with data scientists, software engineers, and product managers to deliver end-to-end ML solutions.
• Implement MLOps best practices for continuous integration, delivery, and monitoring of ML models.
• Troubleshoot and resolve issues related to ML model performance and infrastructure.
• Stay abreast of the latest advancements in machine learning, cloud computing, and MLOps.
• Contribute to the architectural design of new ML features and platforms.
• Ensure the security and compliance of ML systems.

Requirements

• Master's degree or Ph.D. in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in machine learning engineering or a similar role.
• Proven experience building and deploying ML models in production environments, preferably on cloud platforms.
• Strong proficiency in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Extensive experience with cloud platforms such as AWS, Azure, or GCP, including their ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Solid understanding of software engineering principles, data structures, and algorithms.
• Experience with MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD pipelines).
• Excellent problem-solving, analytical, and communication skills.
• Demonstrated ability to work effectively in a remote, collaborative team environment.

Benefits

• Our client offers a highly competitive salary, performance-based bonuses, and a comprehensive benefits package including health, dental, and vision insurance.
• As a fully remote position, employees enjoy the flexibility and autonomy to work from anywhere.
• We provide opportunities for continuous professional development, including online courses, certifications, and access to virtual conferences.
• Our client fosters a culture of innovation, collaboration, and continuous learning, offering significant potential for career advancement within the fast-paced field of cloud AI.