AI Specialist

Ntice Search Solutions; KwaZulu-Natal; On-site; ZAR 600,000 - 800,000; Full time

Job summary

A leading technology recruitment firm in Johannesburg is seeking an AI Specialist to transform patient care through innovation. The ideal candidate will lead AI strategy and deployment in healthcare, develop predictive models, and enhance operational efficiency. A Bachelor's degree in a relevant field and strong experience in AI/ML are required. This role offers competitive compensation and an opportunity to drive impactful change.

Qualifications

• 3-5 years in AI/ML, data science, or related disciplines.
• Hands-on development and deployment of AI solutions.
• Experience with analytics, forecasting, and process automation.

Responsibilities

• Shape and execute the AI strategy and adoption roadmap.
• Automate key workflows to revolutionize operations.
• Develop predictive models for better medical decisions.

Skills

AI and Machine Learning

Predictive modeling

Data-driven decision making

Cloud AI experience

Excellent communication

Collaborative leadership

Education

Bachelor's in AI, Data Science, or related field

Master's/PhD and relevant certifications

Tools

TensorFlow

PyTorch

Python

AWS

Job description

Location: Office-Based Parktown Johannesburg (Full-Time)
Industry: Healthcare & Pharmaceuticals
Level: Mid to Senior-Level

Are you passionate about harnessing the power of AI and Machine Learning to improve lives? Ready to transform patient care, accelerate research, and reshape how healthcare operates? We’re looking for an AI Specialist to join our forward-thinking team and lead the charge in applying cutting-edge AI to healthcare and pharmaceutical innovation.

As our AI Specialist, you’ll lead the development and deployment of AI-powered solutions across clinical, research, and administrative functions. From enhancing patient care to streamlining operations and boosting commercial strategy, your work will drive measurable impact across the entire healthcare ecosystem.

You will:

• Shape and execute our AI strategy and adoption roadmap.
• Automate key workflows, revolutionizing operational efficiency.
• Develop predictive modelsto support better, faster medical decisions.
• Innovate with AI tools for personalized care, diagnostics, and virtual health.
• Ensure ethical, compliant, and scalable AI practicesthat serve patients first.

What You’ll Be Responsible For

1. AI Strategy & Governance

• Design and deliver an enterprise AI strategy.
• Lead ethical AI governance and ensure compliance.
• Drive change management for AI adoption.
• Create training programs to build internal AI fluency.

2. AI-Driven Automation

• Identify and automate manual workflows using AI tools.
• Optimize clinical and supply chain processes.
• Ensure robust integration with cloud-based systems.

3. Data-Driven Decision-Making

• Develop predictive analytics for disease prevention and treatment optimization.
• Support AI in drug discovery, clinical trials, imaging, and diagnostics.
• Use AI for sales forecasting, marketing analytics, and strategic planning.
• Modernize data platforms for AI-driven operations.

4. Personalized, Patient-Centric Care

• Build virtual assistants and chatbots to improve patient engagement.
• Create AI tools for remote monitoring and personalized treatment.
• Advance telemedicine through intelligent, accessible solutions.

Education:

• Bachelor'sin AI, Data Science, Computer Science, or related field.
• Preferred: Master's/PhD and certifications (Google Cloud AI, AWS ML, TensorFlow, etc.)

Experience:

• 3–5 years in AI/ML, data science, or related disciplines.
• Hands-on development and deployment of AI solutions.
• Experience with AI in analytics, forecasting, and process automation.
• Bonus: Healthcare, pharma, or clinical trial experience.

Technical Skills:

• Proficiency in ML tools (TensorFlow, PyTorch, Scikit-learn, etc.).
• Strong coding ability in Python, R, SQL, or Java.
• Cloud AI experience (AWS, Azure, GCP).
• Bonus: Experience with big data tools (Spark, Hadoop) and RPA platforms.

Soft Skills & Competencies:

• Analytical mindset with a drive for innovation.
• Excellent communication, able to bridge technical and business language.
• Collaborative leadership with a passion for ethical, patient-first AI.