Summary
We are seeking a highly skilled AI/ML Engineer to join our IT Services team. In this pivotal role, you will leverage advanced machine learning frameworks and cloud-native technologies to design, build, and deploy scalable artificial intelligence solutions. The position demands a deep understanding of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures to drive innovation and deliver robust technical outcomes that align with our strategic business objectives.

Responsibilities

Architect and implement end-to-end machine learning pipelines using Python, TensorFlow, and Kubeflow.
Develop and optimize Large Language Model applications, integrating RAG strategies to enhance data retrieval and response accuracy.
Containerize applications and manage orchestration workflows utilizing Docker and Kubernetes to ensure high availability and scalability.
Collaborate with cross-functional teams to integrate OpenAI capabilities and other AI services into production environments.
Monitor model performance and infrastructure health, ensuring continuous improvement and operational efficiency.

Requirements

Requirements:

Possess 4-6 years of professional experience in software development and machine learning engineering.
Demonstrate proven expertise with core technologies including Python, TensorFlow, Docker, and Kubernetes.
Show strong proficiency in building RAG systems and working with Large Language Models (LLM).
Have hands-on experience with Kubeflow for workflow management and model deployment.
Familiarity with OpenAI APIs and their integration into enterprise-grade applications is essential.

Compétences requises

PythonTensorFlowKubeflowDockerKubernetesLarge Language Models (LLM)Retrieval-Augmented Generation (RAG)End-to-end machine learning pipeline architectureModel deployment (productionizing ML models)Model and infrastructure monitoring (MLOps)OpenAI API integrationCloud-native architecture designCross-functional collaboration

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