Lead Machine Learning Engineer - Predictive Analytics

Placements24; George; On-site; ZAR 1,400,000 - 2,000,000; Full time

Benefits offered by this job

Medical aid

Retirement fund

Performance incentives

Training and conferences

Job summary

Placements24 invites applications for a Lead Machine Learning Engineer role based in George, Western Cape. You will spearhead predictive analytics, build scalable ML models, and guide a team of engineers and data scientists.

A strong software engineering background and hands-on ML experience are essential for driving production-grade AI solutions. Key responsibilities include end-to-end model development, ML pipeline design for real-time and batch predictions, and collaboration with diverse

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.

Responsibilities

• Lead the end-to-end development lifecycle of ML models, from data ingestion and feature engineering to model training, validation, and deployment.
• Design and implement robust and scalable ML pipelines for real-time and batch predictions.
• Architect and develop ML systems that can handle large volumes of data efficiently.
• Collaborate with stakeholders to translate business needs into ML projects.
• Mentor junior ML engineers and provide technical leadership.
• Champion MLOps best practices, including monitoring, versioning, and CI/CD.
• Evaluate and adopt new technologies to enhance the ML platform.
• Conduct performance testing and optimization of ML models and systems.
• Ensure reliability, security, and ethical considerations of deployed ML solutions.

Skills

Python

Java

Scala

Scikit-learn

TensorFlow

PyTorch

Spark MLlib

MLOps

AWS

Azure

GCP

Hadoop

Spark

Education

CS/Engineering/DS degree

Job description

About the Role

Our client is seeking a highly motivated and experienced Lead Machine Learning Engineer to spearhead their predictive analytics initiatives in George, Western Cape . This critical role involves designing, building, and deploying sophisticated machine learning models that drive business decisions and enhance customer experiences. You will lead a talented team of engineers and data scientists, fostering a culture of innovation and technical excellence. The ideal candidate will have a strong background in software engineering, a deep understanding of ML algorithms, and a proven ability to deliver scalable AI solutions. This is a fantastic opportunity to make a significant impact in a growing organization located in the scenic George region.

Key Responsibilities

• Lead the end-to-end development lifecycle of machine learning models, from data ingestion and feature engineering to model training, validation, and deployment.
• Design and implement robust and scalable ML pipelines for real-time and batch predictions.
• Architect and develop machine learning systems that can handle large volumes of data efficiently.
• Collaborate with stakeholders across business units to understand their needs and translate them into actionable ML projects.
• Mentor and guide junior machine learning engineers, providing technical leadership and support.
• Champion best practices in MLOps, including model monitoring, versioning, and continuous integration/continuous deployment (CI/CD).
• Evaluate and adopt new technologies and frameworks to enhance the ML platform.
• Conduct performance testing and optimization of ML models and systems.
• Ensure the reliability, security, and ethical considerations of deployed ML solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Extensive experience as a Machine Learning Engineer or similar role, with at least 2 years in a lead or senior capacity.
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with ML libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Spark MLlib).
• Strong understanding of algorithms, data structures, and software design principles.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their ML services.
• Demonstrated experience in building and deploying production-grade ML models.
• Familiarity with MLOps tools and practices.
• Excellent leadership, communication, and problem-solving skills.
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.

Benefits

Our client offers a highly competitive salary and a comprehensive benefits package, including medical aid, retirement fund contributions, and performance-based incentives. Employees enjoy access to professional development resources, including training programs and opportunities to attend industry conferences. The role in George, Western Cape offers a unique opportunity to work within a dynamic team focused on innovation, with a strong emphasis on career growth and work-life balance. Join us and contribute to shaping the future of predictive analytics.