Machine Learning Engineer

Placements24; Gqeberha; Hybrid; ZAR 1,918,000 - 2,878,000; Full time

Benefits offered by this job

Stock options

Remote-first culture

Professional development budget

Challenging AI projects

Collaborative global team

Job summary

Placements24 is seeking a highly skilled Machine Learning Engineer to join a remote-first R&D team dedicated to building and deploying advanced ML solutions. You will collaborate with data scientists and software engineers to bring models from prototype to production and influence AI-driven product innovation.

The role emphasizes designing scalable pipelines, optimizing models for performance, and staying current with最新 breakthroughs in ML while working in a fully remote environment.

Qualifications

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 3+ years of professional experience in machine learning engineering or a closely related role.
• Strong proficiency in Python and deep understanding of ML algorithms and frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with big data technologies and distributed computing frameworks.
• Excellent problem-solving skills, ability to work independently, and strong collaboration capabilities.

Responsibilities

• Develop, train, and deploy machine learning models and algorithms using Python and popular ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Design and implement scalable ML pipelines for data processing, feature engineering, model training, and inference.
• Collaborate with data scientists to translate research models into production-ready code.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Monitor and maintain deployed ML models, identifying and resolving issues to ensure ongoing accuracy and reliability.
• Stay current with the latest advancements in machine learning, deep learning, and artificial intelligence, and explore their applications within a remote setting.

Skills

Python

ML frameworks

AWS/Azure/GCP

Distributed computing

Problem solving

Education

Master's or PhD in CS/AI/ML

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

About the Role

Our client is seeking a highly skilled Machine Learning Engineer to join their cutting-edge research and development team. This fully remote position is focused on designing, building, and deploying sophisticated machine learning models that solve complex business problems and drive product innovation. You will work at the forefront of AI, collaborating with data scientists and software engineers to bring ML solutions from prototype to production. This is a unique opportunity to contribute to groundbreaking projects and shape the future of AI-driven products, all from the comfort of your remote workspace .

Key Responsibilities

• Develop, train, and deploy machine learning models and algorithms using Python and popular ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Design and implement scalable ML pipelines for data processing, feature engineering, model training, and inference.
• Collaborate with data scientists to translate research models into production-ready code.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Monitor and maintain deployed ML models, identifying and resolving issues to ensure ongoing accuracy and reliability.
• Stay current with the latest advancements in machine learning, deep learning, and artificial intelligence, and explore their applications within a remote setting .

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 3+ years of professional experience in machine learning engineering or a closely related role.
• Strong proficiency in Python and deep understanding of ML algorithms and frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with big data technologies and distributed computing frameworks.
• Excellent problem-solving skills, ability to work independently, and strong collaboration capabilities .

Benefits

• Competitive salary with generous stock options.
• Comprehensive health, dental, and vision insurance.
• Flexible paid time off and remote work flexibility.
• Significant budget for professional development, including conferences and courses.
• Opportunity to work on challenging and impactful AI projects.
• Be part of a highly innovative and collaborative remote-first team.