Lead Machine Learning Engineer

Placements24; East London; Vor Ort; ZAR 1.200.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Competitive salary and incentives

Medical, dental, and vision insurance

Retirement savings plan contributions

Relocation assistance may be provided

Team events and social activities

Zusammenfassung

Placements24 in East London, Eastern Cape, SA, seeks a Lead Machine Learning Engineer to architect, develop, and deploy robust ML systems. You will lead a team of engineers, collaborate with data scientists, and drive scalable AI platforms onsite.

The role requires a Master's or PhD, 5+ years of hands-on ML experience, strong Python and ML library skills, and expertise in ML infrastructure, MLOps, and cloud services. You will mentor engineers while aligning ML initiatives with business goals.

Qualifikationen

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
• 5+ years hands-on experience in machine learning engineering, with a proven track record of deploying ML models into production.
• Strong proficiency in Python and common ML libraries (TensorFlow, PyTorch, scikit-learn).
• Expertise in ML infrastructure, MLOps principles, and tools (Docker, Kubernetes, MLflow, CI/CD).
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Solid understanding of data structures, algorithms, and software design principles.
• Excellent leadership, communication, and problem-solving skills.
• Experience managing and mentoring engineering teams is highly desirable.
• Familiarity with big data technologies (Spark, Hadoop) is a plus.

Aufgaben

• Lead the design, development, and deployment of machine learning models and systems across various business domains.
• Architect scalable, production-ready ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring.
• Mentor and guide a team of machine learning engineers, fostering their technical growth and ensuring project success.
• Collaborate with data scientists to translate research models into efficient and scalable production code.
• Define and enforce best practices for ML development, including code quality, testing, version control, and MLOps.
• Optimize ML models for performance, latency, and resource utilization in production environments.
• Identify opportunities to leverage ML for business improvement and innovation.
• Stay current with the latest advancements in machine learning, deep learning, and MLOps.

Kenntnisse

Python programming

Leadership

Communication

Problem-solving

Ausbildung

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

Tools

Docker

Kubernetes

MLflow

CI/CD

AWS

Azure

GCP

Spark

Hadoop

Jobbeschreibung

About the Role

Our client is a dynamic and rapidly growing technology firm recognized for its innovative AI solutions. We are seeking a highly experienced and visionary Lead Machine Learning Engineer to spearhead our machine learning initiatives. This critical role involves architecting, developing, and deploying robust ML systems that drive significant business value. You will lead a team of talented engineers, foster a culture of technical excellence, and ensure the scalability and reliability of our AI platforms. This position is based in East London, Eastern Cape, ZA, and requires a strong on-site presence to facilitate close collaboration with cross-functional teams, including data scientists, software developers, and product managers. If you are passionate about building high-impact ML solutions and leading high-performing teams, this is an unparalleled opportunity.

Key Responsibilities

• Lead the design, development, and deployment of machine learning models and systems across various business domains.
• Architect scalable, production-ready ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring.
• Mentor and guide a team of machine learning engineers, fostering their technical growth and ensuring project success.
• Collaborate with data scientists to translate research models into efficient and scalable production code.
• Define and enforce best practices for ML development, including code quality, testing, version control, and MLOps.
• Optimize ML models for performance, latency, and resource utilization in production environments.
• Identify opportunities to leverage ML for business improvement and innovation.
• Stay current with the latest advancements in machine learning, deep learning, and MLOps.

Requirements

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
• 5+ years of hands‑on experience in machine learning engineering, with a proven track record of deploying ML models into production.
• Strong proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Expertise in ML infrastructure, MLOps principles, and tools (e.g., Docker, Kubernetes, MLflow, CI/CD).
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Solid understanding of data structures, algorithms, and software design principles.
• Excellent leadership, communication, and problem-solving skills.
• Experience managing and mentoring engineering teams is highly desirable.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.

Benefits

• Highly competitive salary and performance-based incentives.
• Comprehensive medical, dental, and vision insurance.
• Generous retirement savings plan contributions.
• Opportunities for career advancement and professional development.
• A stimulating work environment with challenging projects.
• Relocation assistance may be provided for qualified candidates.
• Company-sponsored social events and team-building activities.