Sabenza IT & Recruitment - Senior Data Scientist (AI & Agentic Systems)

Data Scientist is needed in Pretoria, South Africa.

Client: Sabenza IT & Recruitment

Location: Pretoria, GT, za

Contract: Freelance

Job Description

Are you passionate about Artificial Intelligence, Generative AI, and building intelligent systems that solve real business problems? We’re looking for a Senior Data Scientist who thrives on designing enterprise-scale AI solutions, building autonomous AI agents, and creating intelligent platforms that deliver meaningful impact. This is an opportunity to work on cutting-edge AI technologies with a global team while helping shape the future of enterprise AI. If you’re someone who enjoys solving complex technical challenges, leading architectural decisions, and turning innovative ideas into production-ready solutions, this could be the perfect role for you.

As a Senior Data Scientist, you’ll play a key role in designing, building, and supporting enterprise AI platforms. Your responsibilities will include:

• Designing and building agentic AI system architectures using Amazon Bedrock AgentCore and modern agent frameworks
• Creating intelligent multi-step reasoning workflows with tool integration and orchestration
• Defining AI model strategies, including architecture selection, fine-tuning, inference, and performance optimisation
• Designing scalable and resilient AI deployments using Docker and Kubernetes
• Building secure, low-latency networking architectures for AI workloads
• Conducting systems performance engineering, including hardware selection, load testing, stress testing, and capacity planning
• Establishing MLOps and GenAI Ops practices, including CI/CD pipelines, model versioning, and deployment automation
• Implementing monitoring, logging, observability, and incident response for production AI environments
• Building enterprise Retrieval-Augmented Generation (RAG) solutions and intelligent AI workflows
• Providing technical leadership, mentoring engineers, and influencing architecture and engineering best practices

Requirements

Essential Skills:

• Amazon Bedrock AgentCore
• Agent frameworks such as LangChain, LangGraph, or Strands Agents
• Designing agentic AI architectures
• Multi-agent orchestration and workflow automation
• PyTorch
• TensorFlow
• Python
• Docker
• Kubernetes
• Production API development
• Retrieval-Augmented Generation (RAG)
• MLOps and GenAI Ops
• CI/CD for Machine Learning
• Model versioning and deployment automation
• AI observability and monitoring
• Networking for machine learning workloads
• Systems performance engineering

Advantageous Skills:

• Amazon Bedrock
• Terraform or Terragrunt
• AWS Lambda
• Step Functions
• EventBridge
• Cloud security and IAM best practices
• Data Engineering and ETL pipelines
• Feature Stores
• Prometheus
• Grafana
• CloudWatch
• Hybrid or multi-cloud AI deployments
• Model optimisation techniques such as batching, quantisation, and distillation
• Enterprise environments operating within regulated industries

Qualifications and Experience:

• A degree in Computer Science, Engineering, Statistics, or a related field
• A proven track record of delivering enterprise-scale AI solutions
• Experience owning AI architecture from design through to production
• Strong stakeholder management and technical leadership experience

Benefits

• Cutting edge global IT system landscape and processes
• Flexible working of 1960 hours in a 12-month period
• High Work-Life balance
• Remote / On-site work location flexibility
• Highly motivating, energetic, and fast-paced working environment
• Modern, state-of-the-art offices
• Dynamic Global Team collaboration
• Application of the Agile Working Model Methodology