Remote Lead Machine Learning Engineer

Placements24; Kempton Park; Remote; ZAR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Budget for professional development

Flexible work environment

Job summary

Placements24 is seeking a Lead Machine Learning Engineer to drive technical direction for ML initiatives in a remote-first setup. You will mentor a team of ML engineers, architect scalable ML systems, and collaborate with product stakeholders to translate business needs into impactful AI solutions.

The role requires 8+ years in ML, with at least 3 in leadership, and deep expertise in Python and ML libraries. A remote-friendly environment supports collaboration across regions and time zones.

Qualifications

• Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related quantitative field.
• 8+ years in machine learning engineering, with at least 3 years in lead/senior role.
• Proven track record delivering complex ML projects from ideation to production.
• Experience with Python and ML libraries (TensorFlow, PyTorch, scikit-learn).

Responsibilities

• Lead design, development, and deployment of advanced ML models and algorithms.
• Mentor and guide a team of ML engineers to foster high performance.
• Define and implement ML development practices (MLOps).
• Collaborate with product managers to translate requirements into ML solutions.
• Architect scalable ML systems for efficiency and maintainability.
• Conduct research to explore new ML techniques and technologies.
• Optimize ML models for performance and cost-effectiveness.
• Stay updated on AI research and industry trends.
• Champion data-driven problem solving and decision making.

Skills

Leadership

Machine Learning

Problem solving

Communication

Team mentorship

Analytical thinking

Education

Master's or PhD in CS/ML/AI

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

CI/CD

Job description

About the Role

Our client is a globally recognized innovator in the AI and Emerging Technologies sector, seeking a highly motivated and experienced Lead Machine Learning Engineer to join their fully remote team. This position is ideal for a visionary leader who is passionate about pushing the boundaries of artificial intelligence and machine learning to create groundbreaking products and services. As a remote-first organization, we foster a culture of autonomy, collaboration, and continuous learning, providing you with the resources and support to excel from anywhere. You will play a pivotal role in defining the technical direction for our ML initiatives, mentoring a talented team of engineers, and delivering scalable, high-performance ML models that drive significant business impact. This role demands a blend of deep technical expertise, strong leadership qualities, and a strategic mindset to navigate the complexities of modern AI development.

Key Responsibilities

• Lead the design, development, and deployment of advanced machine learning models and algorithms.
• Mentor and guide a team of machine learning engineers, fostering a collaborative and high-performing environment.
• Define and implement best practices for ML model development, evaluation, and deployment (MLOps).
• Collaborate with product managers and stakeholders to translate business requirements into technical ML solutions.
• Architect scalable and robust ML systems, ensuring efficiency and maintainability.
• Conduct research and experiments to explore new ML techniques and technologies.
• Optimize existing ML models for performance, accuracy, and cost-effectiveness.
• Stay at the forefront of AI research and industry trends, identifying opportunities for innovation.
• Champion a data-driven approach to problem-solving and decision-making.

Requirements

• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• 8+ years of experience in machine learning engineering, with at least 3 years in a lead or senior technical role.
• Proven track record of successfully delivering complex ML projects from ideation to production.
• Expertise in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of various ML algorithms, statistical modeling, and data mining techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Proficiency in MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD pipelines).
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional leadership, communication, and collaboration skills.

Benefits

This fully remote role offers a competitive salary, comprehensive benefits package, opportunities for career advancement, and a flexible work environment. You will be part of an innovative and supportive team, working on challenging and impactful projects that shape the future of AI. The company provides a generous budget for professional development and encourages participation in industry conferences. Join us and make a significant impact from the comfort of your home office.