Lead Machine Learning Engineer - MLOps

Placements24; Mossel Bay; Presencial; ZAR 1 000 000 - 1 800 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Stock options

Comprehensive health insurance

Generous annual bonus

Professional development funding

Resumo da oferta

Placements24 in Mossel Bay, Western Cape, is seeking a Lead Machine Learning Engineer with a strong focus on MLOps to build and scale ML infrastructure. You will define best practices for deployment, monitoring, and model versioning while guiding a team of engineers.

The role emphasizes automating ML workflows, cloud platform proficiency, and leadership to shape the technical direction of a fast-growing AI startup. Mossel Bay office-based role with competitive compensation.

Qualificações

• Requires a BS/MS in CS/SE or related field.
• 5+ years in ML engineering with 2+ years in MLOps.
• Hands-on with AWS/Azure/GCP and ML services.
• Strong Python and ML framework experience.
• Solid CI/CD knowledge and containerization skills.
• Infra as Code experience is a plus.
• Proven leadership and collaboration abilities.

Responsabilidades

• Lead design and implementation of robust MLOps pipelines.
• Set best practices for model versioning, testing, deployment, monitoring.
• Develop CI/CD pipelines for ML workflows.
• Collaborate with data scientists and software engineers for production integration.
• Manage and scale ML infrastructure on cloud platforms.
• Implement model retraining, drift detection, and monitoring strategies.
• Automate deployment and operational tasks.
• Provide technical leadership and mentorship to engineers.
• Contribute to roadmap for the ML platform.
• Troubleshoot ML performance and infrastructure issues.

Conhecimentos

Leadership

Communication

Problem solving

Mentorship

Formação académica

Bachelor's or Master's in CS/SE

Ferramentas

AWS

Azure

GCP

TensorFlow

PyTorch

Scikit-learn

Jenkins

GitHub Actions

GitLab CI

Docker

Kubernetes

Terraform

CloudFormation

Descrição da oferta de emprego

About the Role

Our client, a fast-growing tech startup specializing in AI-driven solutions for customer engagement, is seeking a Lead Machine Learning Engineer with a strong focus on MLOps to join their team in Mossel Bay, Western Cape. This is a crucial leadership role where you will be responsible for building and scaling the machine learning infrastructure, ensuring efficient development, deployment, and monitoring of models. You will play a key part in defining best practices and guiding a talented team of engineers. The ideal candidate is passionate about automating ML workflows, optimizing model performance, and ensuring the reliability of AI systems in production. This is a unique opportunity to shape the technical direction of a cutting-edge company in the vibrant Mossel Bay, Western Cape area.

Key Responsibilities

• Lead the design, development, and implementation of robust MLOps pipelines for machine learning models.
• Establish and enforce best practices for model versioning, testing, deployment, and monitoring.
• Develop and maintain CI/CD pipelines specifically for ML workflows.
• Collaborate with data scientists and software engineers to ensure seamless integration of models into production systems.
• Manage and scale ML infrastructure on cloud platforms (e.g., AWS, Azure, GCP).
• Implement strategies for model retraining, performance monitoring, and drift detection.
• Automate model deployment and operational tasks.
• Provide technical leadership and mentorship to junior machine learning engineers.
• Contribute to the strategic planning and roadmap for the ML platform.
• Troubleshoot and resolve issues related to ML model performance and infrastructure.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven experience (5+ years) in machine learning engineering, with at least 2 years focused on MLOps.
• Hands‑on experience with cloud platforms (AWS, Azure, or GCP) and their respective ML services.
• Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).
• Excellent leadership, communication, and problem‑solving skills.
• Experience in managing and optimizing ML workflows is essential.
• Knowledge of data engineering principles is a plus.

Benefits

Our client offers a competitive salary, stock options, comprehensive health insurance, and a generous annual bonus. This role is based at our dynamic office in Mossel Bay, Western Cape, providing a stimulating work environment. We provide significant opportunities for professional development, including funding for advanced certifications and conferences. You'll join a collaborative and innovative team, working on cutting‑edge AI technologies and contributing directly to the company's success. Enjoy a flexible work schedule and a supportive culture that prioritizes employee well‑being and growth.