ML Engineer at Badger Holdings (Pty) Ltd

Key Responsibilities

Conversational AI & Automation Development

• Design and maintain scalable chatbots and AI workflow agents
• Leverage NLP to drive natural, effective conversations
• Build and iterate on AI solutions that automate internal processes

Integration & Operational Efficiency

• Seamlessly connect AI tools with CRM platforms (e.g., HubSpot, Salesforce), messaging systems (e.g., WhatsApp via Infobip/Clickatell), and backend workflows
• Enable automation across self-service portals, Microsoft Copilot, and internal ops systems

Innovation & Technical Support

• Drive technical exploration of new AI applications
• Provide AI integration support to teams across the business
• Resolve system issues quickly and effectively

Collaboration & Stakeholder Engagement

• Work closely with business units to define AI requirements
• Translate technical insights for non-technical audiences
• Facilitate adoption through workshops and training

Governance & Compliance

• Ensure AI solutions comply with POPIA, GDPR, and internal standards
• Conduct regular audits to maintain fairness, transparency, and performance

Training & Documentation

• Produce clear technical and user-facing documentation
• Lead internal sessions to enhance AI literacy and adoption

Ideal Candidate Profile

Requirements

• Hands-on experience with production-level conversational AI and automation tools
• Expert in NLP, Python, and frameworks like GPT APIs, Rasa, Microsoft Bot Framework, Dialogflow
• Proven ability to integrate AI with messaging platforms, CRMs, and internal tools
• Experience deploying to cloud platforms (Azure, AWS, GCP)
• Familiar with APIs, MLOps, agile development, and backend integration