Remote Lead Machine Learning Engineer

Placements24; Gauteng; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Professional development budget

Flexible work environment

Job summary

Placements24 seeks a Lead Machine Learning Engineer to join a fully remote team, driving technical direction and delivering scalable ML models. The role requires 8+ years in ML with leadership experience and deep expertise in Python, TensorFlow, PyTorch, and MLOps.

You will mentor engineers and collaborate with product managers to translate business needs into ML solutions. As a remote-first organization, you will define best practices, architect robust ML systems across cloud platforms, and

Qualifications

• Advanced degree in CS/ML/AI or related field.
• 8+ years in machine learning engineering with leadership experience.
• Proven track record delivering ML projects from ideation to production.

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.

Skills

Leadership

Team mentoring

Analytical thinking

Communication

Problem solving

Education

Master's or PhD in Computer Science / 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.