Senior AI Engineer

Boardroom Appointments; Cape Town; On-site; ZAR 900,000 - 1,800,000; Full time

Job summary

Boardroom Appointments seeks an experienced AI/ML engineer to design, build, and deploy models powering content recommendation, sentiment analysis, auto-tagging, and more across media platforms.

You will develop NLP and computer vision pipelines, collaborate with cross-functional teams, and mentor junior engineers while staying current with generative AI and multimodal learning trends.

Qualifications

• Bachelor's or Master's in CS/AI; PhD a plus.
• 5+ years in AI/ML engineering, preferably in a digital media, entertainment, or streaming environment.
• Proven expertise in Python and AI frameworks such as TensorFlow, PyTorch, Hugging Face, or spaCy.
• Deep understanding of NLP including entity recognition, summarization, and topic modeling.
• Experience with video, audio, and image data using OpenCV, ffmpeg, and media-specific ML libraries.
• Familiarity with content management systems, media workflows, and publishing platforms.
• Hands-on experience deploying AI solutions to production in cloud environments (AWS, etc.).

Responsibilities

• Build and deploy AI/ML models for content recommendation, sentiment analysis, auto-tagging, voice-to-text transcription, and audience segmentation.
• Design intelligent tools to assist content creators, editors, and marketing teams with automation, prediction, and optimization.
• Develop NLP and computer vision pipelines to analyze video, audio, text, and metadata at scale.
• Collaborate with product managers, UX designers, and media technologists to integrate AI into digital platforms, CMS, and distribution channels.
• Mentor junior engineers and data scientists, providing architectural guidance and peer reviews.
• Stay up to date with the latest in generative AI, LLMs, and multimodal learning to push innovation in how media is produced and consumed.

Skills

Python

NLP

LLMs

AI/machine learning

Digital media

Education

Bachelor's or Master's in CS/AI

PhD a plus

Tools

TensorFlow

PyTorch

Hugging Face

spaCy

OpenCV

ffmpeg

AWS

Job description

• Build and deploy AI/ML models for use cases such as content recommendation, sentiment analysis, auto-tagging, voice-to-text transcription, and audience segmentation.
• Design intelligent tools to assist content creators, editors, and marketing teams with automation, prediction, and optimization.
• Develop NLP and computer vision pipelines to analyze video, audio, text, and metadata at scale.
• Collaborate with product managers, UX designers, and media technologists to integrate AI into digital platforms, CMS, and distribution channels.
• Mentor junior engineers and data scientists, providing architectural guidance and peer reviews.
• Stay up to date with the latest in generative AI, LLMs, and multimodal learning to push innovation in how media is produced and consumed.

Required Skills & Experience

• Bachelor's or Masters degree in Computer Science, AI, Data Science, or related field (PhD a plus).
• 5+ years of experience in AI/ML engineering, preferably in a digital media, entertainment, or streaming environment.
• Proven expertise in Python and AI frameworks such as TensorFlow, PyTorch, Hugging Face, or spaCy.
• Deep understanding of natural language processing (NLP), including entity recognition, summarization, and topic modeling.
• Experience working with video, audio, and image data using tools like OpenCV, ffmpeg, and media-specific ML libraries.
• Familiarity with content management systems, media workflows, and publishing platforms.
• Hands-on experience deploying AI solutions to production in cloud environments (AWS, etc.).