AI Solutions Architect - Data Science & Analytics

Placements24

Pretoria

On-site

ZAR 900,000 - 1,300,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Medical aid
Retirement fund contributions
Performance bonuses
Learning opportunities
Generous leave

Job summary

Placements24 in Pretoria is seeking an innovative AI Solutions Architect to design end-to-end AI/ML solutions for diverse clients. You will translate business needs into scalable architectures and collaborate with data scientists and engineers on on-site projects.

The role emphasizes data strategy, cloud services, governance, and delivering prototypes, with a hands-on approach and close stakeholder engagement.

Qualifications

  • A Bachelor's or Master's degree in CS/DS/Engineering.
  • 5+ years in designing and delivering AI/ML solutions.
  • Strong knowledge of ML algorithms, modeling, and data mining.
  • Proficiency in Python or R with ML libraries.
  • Experience with cloud platforms and big data technologies.

Responsibilities

  • Design scalable AI/ML solutions tailored to business needs.
  • Lead technical aspects of AI project lifecycles from discovery to deployment.
  • Collaborate with data scientists to select algorithms and models.
  • Define data strategies including acquisition, preprocessing, and governance.
  • Evaluate cloud-based AI services and platforms; develop prototypes.

Skills

Python
R
ML algorithms
Cloud platforms
Big data

Education

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

Tools

TensorFlow
PyTorch
scikit-learn

Job description

About the Role

Our client, a prominent leader in the technology sector, is looking for an innovative AI Solutions Architect to join their dedicated team in Pretoria, Gauteng . This role is central to designing and implementing sophisticated AI and machine learning solutions that address complex business challenges for our diverse clientele. You will act as a bridge between business needs and technical capabilities, translating strategic objectives into actionable AI architectures. The ideal candidate will possess a deep understanding of various AI/ML techniques, cloud platforms, and data analytics tools. This is a hands-on role where you will architect end-to-end solutions, from conceptualization and data strategy to deployment and integration. You will collaborate closely with data scientists, engineers, and business stakeholders to ensure successful project delivery and maximum impact. This position requires a strong on-site presence to foster close collaboration within the team and with local clients in Pretoria, Gauteng .

Key Responsibilities

Design and architect scalable and robust AI/ML solutions tailored to specific business needs. Lead the technical aspects of AI project lifecycles, from discovery and design to implementation and deployment. Collaborate with data scientists to select appropriate algorithms and models for various use cases. Define data strategies, including data acquisition, preprocessing, and governance for AI initiatives. Evaluate and recommend cloud-based AI/ML services and platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform). Develop proof-of-concepts and prototypes to demonstrate the value of AI solutions. Provide technical guidance and mentorship to project teams. Communicate complex technical concepts and solutions to both technical and non-technical audiences. Ensure solutions are aligned with enterprise architecture standards and best practices.

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in designing and implementing AI/ML solutions, data engineering, or software development. Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques. Proficiency with programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services. Experience with big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL). Excellent problem-solving, analytical, and critical thinking skills. Strong communication, presentation, and stakeholder management abilities. Ability to work effectively in a team-oriented, on-site environment.

Benefits
  • competitive salary package
  • comprehensive medical aid
  • retirement fund contributions
  • performance bonuses
  • continuous learning opportunities, including training programs and certifications
  • healthy work-life balance with a standard work week and ample annual leave
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