Senior ML Engineer & Team Lead — Remote

Placements24; Rustenburg; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Attractive salary and bonus structure

Comprehensive healthcare coverage

Professional development opportunities

Flexible remote work options

Budget for learning

Job summary

Placements24 seeks an experienced Lead Machine Learning Engineer to guide AI initiatives in Rustenburg, South Africa. You will oversee the development and deployment of production ML models, while mentoring a high-performing engineering team and establishing best practices in software development and MLOps.

In this senior role, you will define MLOps strategies, collaborate with data scientists and software engineers, and optimize models for performance, scalability, and cost-effectiveness, with

Qualifications

• Master's or PhD in Computer Science, Engineering, or equivalent practical experience.
• Significant experience in ML engineering and software development.
• Proven experience leading technical teams and managing complex projects.
• Proficiency in Python and experience with ML frameworks and cloud platforms.

Responsibilities

• Lead design, development, and deployment of production ML systems.
• Mentor and manage a team of ML engineers.
• Define and implement MLOps strategies for model monitoring, versioning, and retraining.
• Collaborate with data scientists and software engineers to deploy models.
• Optimize ML models for performance, scalability, and cost.

Skills

Leadership experience

Python proficiency

ML frameworks

Cloud platforms

Team management

Education

Master's or PhD in Computer Science/Engineering

Job description

Placements24 seeks an experienced Lead Machine Learning Engineer to guide AI initiatives in Rustenburg, South Africa. You will oversee the development and deployment of production ML models, while mentoring a high-performing engineering team and establishing best practices in software development and MLOps.

In this senior role, you will define MLOps strategies, collaborate with data scientists and software engineers, and optimize models for performance, scalability, and cost-effectiveness, with