AI Solutions Engineer (ML & LLMs)

WNS Global Services; Milnerton; Presencial; ZAR 900.000 - 1.400.000; Jornada completa

Descripción de la vacante

WNS Global Services is seeking an innovative AI Developer to design, build, deploy, and maintain AI solutions addressing real business challenges. You will work with cross-functional teams to develop ML models, generative AI applications, automation tools and intelligent systems.

The role covers AI solution development, software development, collaboration with stakeholders, and governance, security & compliance to ensure responsible and scalable AI adoption across business units.

Formación

• Bachelor's degree in Computer Science, Software Engineering, Data Science, AI, IT or related field.
• Relevant certifications in AI, ML, Cloud Technologies or Data Science advantageous.
• 3+ years software development experience.
• 2+ years experience developing AI or ML solutions.
• Experience with cloud platforms such as AWS, Azure or Google Cloud.
• Experience deploying AI applications into production.

Responsabilidades

• Design, develop, test and deploy AI and ML solutions.
• Build and maintain scalable AI applications and APIs.
• Create AI-powered chatbots, virtual assistants and automation tools.
• Integrate AI capabilities into products, platforms and processes.
• Collaborate with data engineers, software developers and product teams.
• Ensure AI solutions comply with data privacy, security and governance standards.

Conocimientos

Python programming

LLMs & Generative AI

Prompt engineering

RAG frameworks

SQL & databases

Docker

Kubernetes

MLOps / CI-CD

Educación

Bachelor's Degree in CS/SE/IT/AI

AI/Cloud certifications

Herramientas

TensorFlow

PyTorch

Scikit-learn

LangChain

Hugging Face

CI/CD tools

Descripción del empleo

WNS Global Services is seeking an innovative AI Developer to design, build, deploy, and maintain AI solutions addressing real business challenges. You will work with cross-functional teams to develop ML models, generative AI applications, automation tools and intelligent systems.

The role covers AI solution development, software development, collaboration with stakeholders, and governance, security & compliance to ensure responsible and scalable AI adoption across business units.