Generative AI Researcher

7 days ago


Johannesburg, Gauteng, South Africa PBT Group Full time

Company Overview:

PBT Group is a leading provider of AI-powered solutions, dedicated to driving innovation and business value through Generative AI. Our team of experts is passionate about leveraging the power of AI to create impactful and scalable solutions.

Job Overview:

We are seeking an experienced Data Science Specialist to join our team as a Data Analyst Lead. The successful candidate will be responsible for designing, developing, and deploying Generative AI models to drive business growth and innovation.

Responsibilities:

  • Develop and deploy Generative AI models for real-world applications, including text, image, and video generation.
  • Implement and fine-tune large language models (LLMs) and deep learning architectures.
  • Work with structured and unstructured data to develop innovative AI-driven solutions.
  • Collaborate with data engineers and software developers to integrate AI models into production environments.
  • Optimise and scale AI models to improve performance, efficiency, and cost-effectiveness.
  • Conduct research on emerging AI technologies and stay updated with advancements in Generative AI.
  • Ensure compliance with data governance, security, and ethical AI guidelines.
  • Present insights and recommendations to business stakeholders through data storytelling and visualisations.

Requirements:

  • Experience: Minimum 5+ years of experience in Data Science, AI/ML, or a related field.
  • Generative AI Expertise: Hands-on experience with LLMs, GANs, VAEs, and transformer-based architectures.
  • Programming Skills: Proficiency in Python, TensorFlow, PyTorch, and OpenAI API.
  • Data Engineering & Analytics: Strong understanding of SQL, Spark, and big data processing frameworks.
  • Cloud & DevOps: Experience with AWS, Azure, or GCP for AI/ML model deployment.
  • MLOps & Model Deployment: Experience with Docker, Kubernetes, and CI/CD pipelines for AI applications.
  • Statistical & Mathematical Skills: Solid foundation in probability, statistics, and linear algebra for AI model development.
  • Business Acumen: Ability to align AI solutions with business objectives and drive actionable insights.


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