Lead AI Engineer (MLOps)

Placements24; Sandton; Híbrido; ZAR 900 000 - 1 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote-friendly

Flexible hours

Pro development budget

Resumo da oferta

Placements24 is seeking a Lead AI Engineer (MLOps) to design, build and maintain infrastructure for deploying and monitoring ML models in a remote-first setup. You will lead CI/CD for ML, manage scalable cloud infrastructure on AWS/Azure/GCP, and mentor junior engineers while collaborating with data scientists.

The role emphasizes reliability, security and performance of AI production systems, with a strong focus on IaC automation and staying ahead of MLOps advancements.

Qualificações

• Master's or Bachelor's degree in Computer Science, Engineering or related field.
• 6+ years in software engineering, DevOps or SRE with a focus on MLOps.
• Experience designing CI/CD pipelines for ML models.
• Cloud platforms AWS, Azure, GCP and ML services expertise.
• Proficiency with Docker, Kubernetes and IaC tools.
• Strong Python programming with ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with Terraform/Ansible and distributed systems.
• Ability to lead initiatives and mentor engineers in a remote setting.

Responsabilidades

• Lead design and implementation of robust MLOps pipelines for model training, testing, deployment and monitoring.
• Develop scalable cloud infrastructure for ML workloads on AWS, Azure, and GCP.
• Implement CI/CD practices tailored for ML projects.
• Build tools to streamline the ML lifecycle end-to-end.
• Collaborate with data scientists to optimize production models.
• Ensure reliability, scalability and security of AI production systems.
• Automate IaC provisioning and management.
• Monitor performance, identify bottlenecks and optimize systems.
• Troubleshoot complex production AI issues.
• Stay current with MLOps and cloud tech best practices.

Conhecimentos

Python

MLOps

CI/CD for ML

Cloud platforms

Docker

Kubernetes

Terraform / IaC

Distributed systems

Mentoring

Formação académica

Master's or Bachelor's in CS/Engineering or related

Ferramentas

Docker

Kubernetes

Terraform

Ansible

Descrição da oferta de emprego

About the Role

Our client is a trailblazer in AI-driven innovation, developing advanced platforms that power intelligent solutions across various industries. We are seeking an experienced Lead AI Engineer specializing in MLOps to join our fully remote team. In this critical role, you will be responsible for designing, building, and maintaining the infrastructure and pipelines that enable the seamless deployment, scaling, and monitoring of machine learning models. As a remote-first organization, we empower our engineers with the autonomy and resources needed to excel. You will play a key role in ensuring the reliability and efficiency of our cutting-edge AI systems.

Key Responsibilities

• Lead the design and implementation of robust MLOps pipelines for automated model training, testing, deployment, and monitoring.
• Develop and manage scalable infrastructure for machine learning workloads on cloud platforms (AWS, Azure, GCP).
• Implement CI/CD practices tailored for machine learning projects.
• Build tools and frameworks to streamline the end-to-end ML lifecycle.
• Collaborate with data scientists and AI researchers to optimize models for production environments.
• Ensure the reliability, scalability, and security of AI production systems.
• Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools.
• Monitor system performance, identify bottlenecks, and implement optimizations.
• Troubleshoot and resolve complex issues in production AI environments.
• Stay current with the latest advancements in MLOps, cloud technologies, and AI engineering best practices.

Requirements

• Master's or Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 6 years of experience in software engineering, DevOps, or site reliability engineering, with a strong focus on MLOps and AI infrastructure.
• Proven experience designing and implementing CI/CD pipelines for machine learning models.
• Expertise in cloud computing platforms (AWS, Azure, GCP) and their ML services.
• Proficiency with containerization technologies (Docker, Kubernetes).
• Strong programming skills in Python and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with Infrastructure as Code tools (e.g., Terraform, Ansible).
• Solid understanding of distributed systems, microservices architecture, and networking concepts.
• Excellent problem-solving, debugging, and analytical skills.
• Ability to lead technical initiatives and mentor junior engineers in a fully remote setting.

Benefits

• This role offers a highly competitive salary, performance bonuses, and a comprehensive benefits package.
• As a fully remote position, you will enjoy unparalleled flexibility and work-life balance.
• Our client provides a generous budget for professional development, including conference attendance and continuous learning opportunities.
• You will be part of a collaborative, innovative culture and have the opportunity to work on impactful projects that shape the future of AI.

We are committed to fostering a diverse and inclusive remote workforce.