AI/ML Lead Engineer - South Africa - Full Remote

AI/ML Lead Engineer - Full Remote, South Africa - Up to R130,000 CTC *Applicants must be based in South Africa* We’re looking for a hands‑on AI / ML Engineer to join a specialist engineering team delivering real‑world machine learning and generative AI solutions on AWS, for an AWS Premier Tier Partner. This is not a research or theory‑heavy role. It’s about building, integrating, and shipping, taking AI workloads from early discovery through to MVPs and production‑ready solutions for clients across multiple industries. They tend to work with start‑ups or small to medium size businesses. You’ll work closely with clients during technical discovery and delivery, while collaborating with experienced cloud and DevOps engineers to deploy scalable, production‑grade ML and GenAI systems. What you’ll be doing • Owning delivery of ML and GenAI workloads from discovery through to deployment • Designing, building, and deploying solutions using AWS SageMaker and AWS Bedrock • Implementing GenAI workflows (prompt pipelines, embeddings, retrieval‑based patterns) • Building Python‑based services and APIs to support AI workloads • Contributing to PoCs, MVPs, and client proposals • Working with DevOps teams on CI/CD pipelines and Infrastructure as Code (Terraform) • Engaging directly with technical and non‑technical stakeholders during delivery What we’re looking for • 3+ years’ hands‑on experience in applied ML, AI engineering, or software engineering with real AI exposure • Strong Python skills with experience writing production‑level code • Practical experience delivering ML workloads using AWS SageMaker • Hands‑on experience with AWS Bedrock or similar managed GenAI platforms • Experience deploying GenAI / LLM‑based solutions into production or near‑production • Experience building and integrating APIs • Comfortable working in cloud‑native, Linux‑based environments • Confident leading technical discussions with clients Nice to have • Experience with OpenSearch, RDS, Step Functions, ECS/EKS • Exposure to AWS managed AI services (Rekognition, Transcribe, Comprehend, etc.) • Experience with Golang • Background in consulting or client‑facing delivery environments #J-18808-Ljbffr