AI Solutions Architect - Machine Learning Implementation

Placements24; South Africa; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive remuneration package

Performance-based bonuses

Comprehensive medical and retirement计划

Generous annual leave allowance

Professional development and training

Hybrid work arrangement

Exposure to cutting-edge AI projects

Collaborative and supportive team

Job summary

WhatJobs Direct is seeking a visionary AI Solutions Architect to join our dynamic team. Based in Tembisa, Gauteng, ZA, this hybrid role shapes AI/ML architectures and guides client-facing technical work.

You will translate complex business needs into scalable AI systems and lead cross-functional teams on challenging projects. The ideal candidate has deep ML knowledge, cloud expertise (AWS/Azure/GP), and a track record delivering robust AI-powered solutions across industries.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, Data Science, or related field.
• Proven experience designing and implementing AI/ML solutions with a strong portfolio.
• Deep knowledge of ML algorithms (supervised, unsupervised, reinforcement) and DL frameworks TensorFlow/PyTorch.
• Cloud proficiency in AWS, Azure, or Google Cloud and their AI/ML services.
• Experience with data engineering, big data tech (Spark, Hadoop), and databases.
• Solid software architecture understanding.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work in a hybrid in-office/remote environment.
• MLOps experience is highly desirable.

Responsibilities

• Collaborate with clients and stakeholders to understand business needs and define AI/ML objectives.
• Design end-to-end AI/ML solutions, including data pipelines, model selection, training, deployment, and monitoring.
• Evaluate and recommend AI technologies, platforms, and tools for project requirements.
• Develop architectural blueprints and technical specifications for AI systems.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Ensure solutions are scalable, robust, secure, and cost-effective.
• Stay updated with the latest advancements in AI, ML, cloud computing, and big data technologies.
• Develop and deliver technical presentations and demonstrations to clients and internal teams.
• Identify opportunities for leveraging AI to solve business challenges and drive innovation.

Skills

Communication skills

Presentation skills

Interpersonal skills

Education

Bachelor's or Master's degree in CS/Engineering/Data Science

Tools

TensorFlow

PyTorch

AWS

Azure

Google Cloud Platform

Spark

Hadoop

Databases

Job description

About the Role

WhatJobs Direct is seeking a visionary AI Solutions Architect to join our dynamic team. This role is crucial in designing and implementing advanced AI and machine learning solutions for our diverse clientele. Based in Tembisa, Gauteng, ZA, this position offers a hybrid work model, blending the benefits of remote flexibility with essential in-office collaboration. You will be instrumental in translating complex business requirements into robust, scalable AI architectures. The ideal candidate possesses a deep understanding of various machine learning models, cloud infrastructure, and deployment strategies. This is an exceptional opportunity to shape the future of AI adoption within various industries, working on challenging projects that demand creativity and technical prowess. You will be a key player in advising clients, guiding technical teams, and ensuring the successful delivery of AI-powered products and services. We are committed to fostering a stimulating work environment where innovation thrives and professionals can achieve their full potential. Our client focuses on practical AI applications that drive tangible business outcomes.

Key Responsibilities

• Collaborate with clients and internal stakeholders to understand business needs and define AI/ML project objectives.


• Design end-to-end AI and machine learning solutions, including data pipelines, model selection, training, deployment, and monitoring.


• Evaluate and recommend appropriate AI technologies, platforms, and tools for specific project requirements.


• Develop architectural blueprints and technical specifications for AI systems.


• Provide technical leadership and guidance to development teams throughout the project lifecycle.


• Ensure solutions are scalable, robust, secure, and cost-effective.


• Stay updated with the latest advancements in AI, machine learning, cloud computing, and big data technologies.


• Develop and deliver technical presentations and demonstrations to clients and internal teams.


• Identify opportunities for leveraging AI to solve business challenges and drive innovation.

Requirements

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


• Extensive experience in designing and implementing AI/ML solutions, with a strong portfolio of successful projects.


• In-depth knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g., TensorFlow, PyTorch).


• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform, including their AI/ML services.


• Experience with data engineering, big data technologies (e.g., Spark, Hadoop), and database systems.


• Strong understanding of software architecture principles and best practices.


• Excellent communication, presentation, and interpersonal skills.


• Ability to work effectively in a hybrid work environment, balancing remote and in-office collaboration.


• Experience with MLOps practices is highly desirable.

Benefits

• Competitive remuneration package.


• Performance-based bonuses.


• Comprehensive medical and retirement plans.


• Generous annual leave allowance.


• Professional development and training opportunities.


• Hybrid work arrangement for a balanced lifestyle.


• Exposure to a wide range of cutting-edge AI projects.


• Collaborative and supportive team environment.