AI Solutions Architect - Machine Learning Platforms

Placements24; George; Hybrid; ZAR 1,976,000 - 2,964,000; Full time

Benefits offered by this job

Competitive remote salary

Flexible hours

Health benefits

Learning budget

International collaboration

Job summary

Placements24 seeks an AI Solutions Architect to design and implement scalable ML platforms in a fully remote setting. You will shape the AI infrastructure across the lifecycle from data ingestion to deployment and monitoring, working with data scientists, engineers, and stakeholders.

You will define standards, select cloud services, and ensure performance, security, and scalability. Strong ML workflows knowledge and cloud experience are essential for guiding teams and driving platform evolution.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of software architecture experience with a focus on AI/ML platforms and cloud infrastructure.
• Deep understanding of machine learning workflows, algorithms, and tools.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and their AI/ML services.
• Proficiency in Python, Java, or Scala; containerization and CI/CD pipelines.
• Experience with big data technologies (Spark, Hadoop) and data warehousing.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design and architect end-to-end ML solutions and platforms.
• Define technical standards and best practices for AI/ML development and deployment.
• Evaluate and select cloud services and technologies for ML infrastructure.
• Collaborate with data science and engineering teams to meet performance and security requirements.
• Develop roadmaps for AI platform evolution and adoption.
• Provide technical guidance and mentorship to development teams.

Skills

Python

Java

Scala

Cloud platforms

ML workflows

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Spark

Hadoop

CI/CD

Job description

About the Role

Our client, a globally recognized leader in AI innovation, is seeking a visionary AI Solutions Architect to design and implement scalable machine learning platforms. This critical role, based remotely, will focus on architecting robust and efficient AI infrastructure that supports the entire machine learning lifecycle, from data ingestion and model training to deployment and monitoring. You will work closely with data scientists, engineers, and business stakeholders to understand their needs and translate them into technical solutions. This is an exceptional opportunity to shape the future of AI infrastructure for a forward-thinking company, impacting projects across various industries. Your expertise will be key to enabling faster, more reliable AI development and deployment.

Key Responsibilities

• Design and architect end-to-end machine learning solutions and platforms.
• Define technical standards and best practices for AI/ML development and deployment.
• Evaluate and select appropriate cloud services, tools, and technologies for ML infrastructure.
• Collaborate with data science and engineering teams to ensure solutions meet performance, scalability, and security requirements.
• Develop roadmaps for AI platform evolution and adoption.
• Provide technical guidance and mentorship to development teams.
• Troubleshoot and resolve complex technical issues related to ML infrastructure.
• Create detailed architectural documentation and diagrams.
• Stay current with emerging trends and technologies in AI, ML, cloud computing, and MLOps.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience (5+ years) in software architecture, with a strong focus on AI/ML platforms and cloud infrastructure.
• Deep understanding of machine learning workflows, algorithms, and tools.
• Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud, including their AI/ML services.
• Proficiency in one or more programming languages (e.g., Python, Java, Scala).
• Knowledge of containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
• Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing solutions.
• Excellent analytical, problem-solving, and communication skills.
• Ability to translate business requirements into technical solutions.
• Experience in MLOps is highly desirable.

Benefits

• Highly competitive remote salary and performance-based incentives.
• Flexible working hours and the ability to work from anywhere.
• Comprehensive health and wellness benefits.
• Generous budget for professional development and learning opportunities.
• Exposure to cutting-edge AI technologies and challenging projects.
• Collaborative international team environment.
• Opportunity to significantly influence the technical direction of AI initiatives.
• Contribute to impactful solutions from the comfort of your home, wherever you are based.