Description du poste
AI ENGINEER (INTERMEDIATE)
Location: Cape Town, South Africa
Liquid Thought is a Cape Town based digital experience and innovation studio with 25 years' experience as a digital partner to brands. We design, build, launch, market and scale digital platforms, products and experiences for clients ranging from tier one retailers to growing SMEs, across financial services, retail, telecoms, healthcare and more. We're a high performing team working at the intersection of strategy, digital execution and marketing, and we're growing our AI capability.
Main purpose of the role
We're looking for an experienced AI Engineer to join our team and help bring artificial intelligence into the solutions we build for our clients. In this role, you'll design, build and deploy production AI solutions that add real value to ecommerce platforms, digital products and customer experiences.
You'll take ownership of challenging problems, from personalisation and recommendation engines to LLM powered assistants and automated workflows. You'll collaborate with strategists, product owners, designers and engineers to deliver AI solutions that make a measurable difference for our clients and their customers.
Key responsibilities:
AI production and delivery
- Design, develop and deploy AI/ML solutions and pipelines using cloud infrastructure (AWS, Google Cloud, Azure)
- Build and maintain production machine learning models that power features in the platforms and products we build
- Implement MLOps practices including model versioning, automated testing, monitoring and continuous deployment
- Optimise model performance, latency and cost for production environments
Applied AI for client solutions
- Build personalisation and recommendation features for ecommerce and digital platforms
- Develop NLP solutions such as content classification, semantic search and intelligent tagging
- Integrate large language models (LLMs) and generative AI into client products, including assistants, summarisation and content automation
- Work with vector databases and embedding based search to build retrieval and matching solutions
Client and product collaboration
- Work with multidisciplinary teams to turn client requirements into practical AI solutions
- Help scope AI features and explain technical options and trade offs to clients and stakeholders without a technical background...