Job Description
We’re backing the builders of the decentralized, intelligent, and beautifully weird future – where AI meets finance and frontier tech collides with real-world impact.
Now we need an AI / ML Ops Lead to architect, automate, and operationalize the next wave of machine intelligence. You won’t be stuck in PowerPoint-land – this is a hands-on, GPU-burning, container-orchestrating, production-grade mission to make AI actually work in the wild.
What You’ll Be Doing
- Providing the strategic vision and leadership for operationalizing AI and Machine Learning at scale
- Building the backbone of AI systems – from data pipelines to deployment.
- Leading MLOps strategy across models, infrastructure, and governance.
- Bringing real-world AI to banking, credit, fraud, AML, and compliance use cases.
- Scaling GenAI/LLM workflows and making sure the magic runs fast, safe, and explainable.
What You’ll Bring
- Degree or Master’s in Computer Science, Data Science, or Engineering.
- 8-12 years in Data/AI/ML Ops, with 3-5 in financial services or regulated environments.
- Proven record taking AI from prototype to production in live, governed settings.
Tech Stack
- MLOps Platforms: MLflow, Kubeflow, SageMaker, Vertex AI, Databricks ML.
- Cloud & Containers: AWS / GCP / Azure, Kubernetes, Docker.
- GenAI / LLMOps: LangChain, LangGraph, CrewAI, PromptLayer, Weights & Biases.
- Languages & Frameworks: Python, TensorFlow, PyTorch, Scikit-learn.
- Regulatory Awareness: Model risk management, explainability, bias/fairness.
The Offer
Permanent role, Dubai or Jordan based, ~R2 Million CTC (negotiable on skill and experience).
Contact Garth at *****@*****.co.za
Or call (***)***-**** to chat through this and other top-tier roles.
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