Remote Senior Software Engineer - AI/ML

Placements24; Polokwane; Hybrid; ZAR 1,992,000 - 2,822,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Health insurance

Stock options

401(k) matching

Paid time off

Learning opportunities

Job summary

Placements24 is seeking a highly skilled Remote Senior Software Engineer to design, develop, and deploy scalable AI/ML models and data pipelines. You will collaborate with a global team of engineers and data scientists to build cutting-edge AI systems that solve real-world challenges.

The role requires a strong foundation in software engineering, deep ML expertise, and the ability to deliver high-quality, scalable solutions in a fully remote setting.

Qualifications

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 7+ years of professional software development experience, with at least 4 years focused on AI/ML.
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of core machine learning concepts, algorithms (e.g., supervised, unsupervised, deep learning), and statistical modeling.
• Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
• Proficiency in software engineering best practices, including version control (Git), CI/CD, and testing.
• Excellent problem-solving skills and the ability to work independently in a remote environment.
• Strong communication and collaboration skills for effective remote teamwork.
• Experience with large-scale data processing frameworks (e.g., Spark) is a plus.
• Published research in relevant AI/ML conferences or journals is a significant advantage.

Responsibilities

• Design, develop, implement, and maintain robust and scalable AI/ML models and algorithms.
• Build and optimize data pipelines for training and deploying machine learning models.
• Collaborate with data scientists, product managers, and other engineers to define project requirements and technical specifications.
• Write clean, efficient, well-documented, and maintainable code in languages such as Python, Java, or C++.
• Develop and implement machine learning infrastructure, including training, evaluation, and deployment frameworks.
• Conduct research on new AI/ML techniques and technologies, and apply them to improve existing systems or develop new capabilities.
• Optimize model performance, accuracy, and efficiency for production environments.
• Troubleshoot and debug complex issues in AI/ML systems.
• Contribute to the continuous improvement of our software development practices and tools.
• Participate in code reviews and provide constructive feedback to peers.
• Stay up-to-date with the latest advancements in AI, machine learning, and related fields.

Skills

Python

ML algorithms

TensorFlow

PyTorch

scikit-learn

Git

CI/CD

Cloud platforms

Education

Master's or PhD in CS/AI/ML

Tools

Spark

AWS

Job description

About the Role

Our client, a cutting-edge technology firm specializing in artificial intelligence and machine learning solutions, is seeking a highly skilled and motivated Remote Senior Software Engineer to join their globally distributed team. This role is entirely remote, offering flexibility and the opportunity to work from anywhere. You will be instrumental in designing, developing, and deploying advanced AI/ML models and systems that address complex real-world challenges. The ideal candidate possesses a strong foundation in software engineering principles, deep expertise in machine learning algorithms, and a proven ability to deliver high-quality, scalable solutions. This is a fantastic opportunity to work on innovative projects at the forefront of AI technology, collaborating with a team of brilliant minds in a fully remote setting.

Key Responsibilities

• Design, develop, implement, and maintain robust and scalable AI/ML models and algorithms.
• Build and optimize data pipelines for training and deploying machine learning models.
• Collaborate with data scientists, product managers, and other engineers to define project requirements and technical specifications.
• Write clean, efficient, well-documented, and maintainable code in languages such as Python, Java, or C++.
• Develop and implement machine learning infrastructure, including training, evaluation, and deployment frameworks.
• Conduct research on new AI/ML techniques and technologies, and apply them to improve existing systems or develop new capabilities.
• Optimize model performance, accuracy, and efficiency for production environments.
• Troubleshoot and debug complex issues in AI/ML systems.
• Contribute to the continuous improvement of our software development practices and tools.
• Participate in code reviews and provide constructive feedback to peers.
• Stay up-to-date with the latest advancements in AI, machine learning, and related fields.

Requirements

• A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of professional software development experience, with at least 4 years focused on AI/ML.
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of core machine learning concepts, algorithms (e.g., supervised, unsupervised, deep learning), and statistical modeling.
• Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
• Proficiency in software engineering best practices, including version control (Git), CI/CD, and testing.
• Excellent problem-solving skills and the ability to work independently in a remote environment.
• Strong communication and collaboration skills for effective remote teamwork.
• Experience with large-scale data processing frameworks (e.g., Spark) is a plus.
• Published research in relevant AI/ML conferences or journals is a significant advantage.

Benefits

• This is a fully remote position offering significant flexibility.
• Our client provides a highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance are included.
• Employees benefit from a generous stock option plan, a 401(k) matching program, and ample paid time off.
• Opportunities for continuous learning through online courses, conferences, and internal workshops are encouraged.