Lead Machine Learning Engineer

Placements24; Polokwane; Hybrid; ZAR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Health insurance

Professional development budget

Remote-first culture

Flexible work hours

Bonus eligibility

Job summary

Placements24 is seeking a Lead Machine Learning Engineer to guide AI initiatives in a fully remote setting. You will lead a distributed team, architect the ML platform, and ensure seamless integration of AI into products and services.

You will design, deploy and scale ML models, mentor engineers, and stay at the cutting edge of ML research while collaborating with product teams across business domains.

Qualifications

• Master's or Ph.D. in Computer Science, AI, ML, or related field.
• 7+ years of experience deploying ML models to production.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and ML services.

Responsibilities

• Lead design, development, and deployment of scalable ML models and systems.
• Architect and implement the MLOps pipeline: data preprocessing, model training, evaluation, deployment.
• Collaborate with data scientists and product teams on ML opportunities.
• Mentor and guide junior ML engineers and data scientists.
• Ensure performance, scalability, and reliability of ML systems in production.
• Stay at the forefront of ML research and best practices.

Skills

Python

Leadership

Remote collaboration

ML engineering

Education

Master's or Ph.D. in CS/AI/ML

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a visionary Lead Machine Learning Engineer to guide their AI initiatives in a fully remote setting. This role is instrumental in developing and deploying advanced machine learning models that drive intelligent solutions across various business domains. You will lead a team of talented engineers, architecting the ML platform, and ensuring the effective integration of AI into our client's products and services. This is a unique opportunity to shape the future of AI within the organization, working from anywhere and contributing to groundbreaking projects with a highly motivated and distributed team.

Key Responsibilities

• Lead the design, development, and deployment of scalable machine learning models and systems.
• Architect and implement the MLOps pipeline, including data preprocessing, model training, evaluation, and deployment.
• Collaborate with data scientists and product teams to identify opportunities for ML applications.
• Mentor and guide junior machine learning engineers and data scientists.
• Ensure the performance, scalability, and reliability of ML systems in production.
• Stay at the forefront of ML research and best practices, driving innovation within the team.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 7+ years of experience in machine learning engineering, with a strong track record of deploying models into production.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
• Experience with cloud platforms (AWS, Azure, GCP) and ML services.
• Strong understanding of data engineering principles and big data technologies.
• Excellent leadership and communication skills, suited for a fully remote role.

Benefits

• Highly competitive salary and generous bonus structure.
• Comprehensive health, dental, and vision insurance.
• Significant budget for professional development and conferences.
• Flexible work hours and a remote-first work culture.
• Opportunity to lead impactful AI projects and innovate in the field.