Lead Machine Learning Engineer - Predictive Analytics

Placements24; Rustenburg; Hybrid; ZAR 1.200.000 - 2.100.000; Vollzeit

Benefits dieser Stelle

Medical aid and pension benefits

Annual performance bonus

Flexible remote work environment

Learning and development opportunities

Zusammenfassung

Placements24 is seeking a Lead Machine Learning Engineer to spearhead predictive analytics initiatives from a remote SA location. You will guide a team of ML engineers and data scientists, delivering scalable ML pipelines and production models that drive critical business decisions.

The role requires a strong background in Python, ML libraries, statistics, and cloud platforms, with a passion for extracting actionable insights across diverse industries worldwide.

Qualifikationen

• Master's or PhD in Computer Science, Statistics, Mathematics or a related quantitative field.
• 5+ years hands-on ML engineering experience, with at least 2 years in a lead/senior role.
• Proven track record in building and deploying predictive models (regression, classification, time-series).
• Expertise in Python and core ML libraries (Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch).
• Strong grasp of statistical modeling, experimental design, and A/B testing.
• Experience with big data (Spark/Hadoop) and cloud platforms (AWS/Azure/GCP).
• Proficiency in MLOps tools (Docker, Kubernetes, MLflow).
• Excellent leadership, communication, and remote-work abilities.

Aufgaben

• Lead end-to-end development and deployment of ML models for predictive analytics.
• Mentor and manage ML engineers and data scientists, driving continuous improvement.
• Design scalable ML pipelines for data processing, feature engineering, training, and evaluation.
• Research and apply state-of-the-art ML algorithms for predictive problems.
• Collaborate with product managers to define requirements and deliver impactful solutions.
• Ensure robustness, scalability, and maintainability of deployed ML systems.
• Oversee monitoring and ongoing optimization of production models.
• Champion best practices in ML engineering, MLOps, and code quality.
• Contribute to the company\'s AI strategy and technology roadmap.

Kenntnisse

ML leadership

Team leadership

Python programming

Mentoring

Remote collaboration

Ausbildung

Master's or PhD in CS/Statistics/Math

Tools

Docker

Kubernetes

MLflow

TensorFlow

PyTorch

Scikit-learn

XGBoost

LightGBM

Jobbeschreibung

About the Role

Our client, a globally recognized leader in data analytics and AI, is seeking an exceptional Lead Machine Learning Engineer to spearhead their Predictive Analytics initiatives. This is a fully remote position, offering the flexibility to work from anywhere within South Africa. The successful candidate will be responsible for leading the design, development, and deployment of advanced machine learning models that drive critical business decisions. You will guide a team of talented engineers and data scientists, ensuring the delivery of high-quality, scalable, and impactful predictive solutions. We are looking for a visionary leader with a deep technical expertise in machine learning, a strong understanding of statistical modeling, and a passion for extracting actionable insights from complex data. This role offers a unique opportunity to shape the future of predictive modeling from the ground up, working with a team dedicated to innovation and excellence, and contributing to projects impacting diverse industries globally.

Key Responsibilities

• Lead the end-to-end development and deployment of machine learning models for predictive analytics.
• Mentor and manage a team of machine learning engineers and data scientists, fostering a culture of continuous improvement and innovation.
• Design and implement scalable ML pipelines for data processing, feature engineering, model training, and evaluation.
• Research and apply state-of-the-art ML algorithms and techniques to solve challenging predictive modeling problems.
• Collaborate with product managers and stakeholders to define project requirements and deliver impactful solutions.
• Ensure the robustness, scalability, and maintainability of deployed ML systems.
• Oversee the monitoring and ongoing optimization of production models.
• Champion best practices in ML engineering, MLOps, and code quality.
• Contribute to the company's AI strategy and technology roadmap.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience in machine learning engineering, with at least 2 years in a lead or senior role.
• Proven experience in building and deploying predictive models (e.g., regression, classification, time-series forecasting).
• Expertise in Python and common ML libraries (e.g., Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, experimental design, and A/B testing.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Proficiency in MLOps principles and tools (e.g., Docker, Kubernetes, MLflow).
• Excellent leadership, communication, and interpersonal skills, crucial for a remote-first role.
• Demonstrated ability to mentor and guide technical teams.

Benefits

• This fully remote position offers a highly competitive salary and an excellent benefits package, including comprehensive medical aid, a generous pension fund, and an annual performance bonus.
• Employees benefit from a flexible work environment, allowing for excellent work-life integration.
• Opportunities for continuous learning and professional development are abundant, including support for attending conferences and pursuing further certifications.
• Our client provides access to cutting-edge tools and technologies, enabling you to work on challenging and impactful projects.
• Join a collaborative and innovative team that values your contributions and offers significant career growth potential, regardless of your physical location within South Africa.