On-Site AI Engineer: Production ML & LLM Solutions

CGI Group Inc.; Bagstone; Vor Ort; GBP 60.000 - 90.000; Vollzeit

Zusammenfassung

CGI seeks an AI Developer/Engineer to design, build and deploy AI-enabled applications in secure environments. You will own ML solutions from data pipelines to model deployment, integrating AI into existing platforms and delivering production-grade workflows.

Based near Gloucester, this on-site role requires strong Python and experience with PyTorch, TensorFlow or LangChain, plus Docker, Kubernetes and CI/CD.

Qualifikationen

• Strong experience in AI or ML development with solid programming skills.
• Experience delivering AI solutions into production environments.
• Strong Python development skills.
• Solid understanding of ML fundamentals and AI concepts.
• Experience with PyTorch, TensorFlow or LangChain.
• Experience developing and deploying ML models into production.
• Knowledge of data pipelines and CI/CD practices.
• Experience with Docker, Kubernetes or similar technologies.
• Familiarity with LLMs, retrieval systems or vector databases (desirable).

Aufgaben

• Design and develop AI-enabled applications and ML solutions.
• Build and optimise end-to-end ML pipelines and data workflows.
• Train, fine-tune and deploy models including LLMs.
• Integrate and enhance AI capabilities within existing platforms.
• Deploy and manage AI workloads using containers and orchestration tools.
• Collaborate with cross-functional teams to solve complex challenges.
• Monitor and improve model performance and scalability in production.

Kenntnisse

Python

PyTorch

TensorFlow

LangChain

Docker

Kubernetes

ML pipelines

CI/CD

LLMs

Vector databases

Tools

Docker

Kubernetes

CI/CD tools

Jobbeschreibung

CGI seeks an AI Developer/Engineer to design, build and deploy AI-enabled applications in secure environments. You will own ML solutions from data pipelines to model deployment, integrating AI into existing platforms and delivering production-grade workflows.

Based near Gloucester, this on-site role requires strong Python and experience with PyTorch, TensorFlow or LangChain, plus Docker, Kubernetes and CI/CD.