AI Engineer - End-to-End AI Pipeline Development and MLOps

KWAN • Portugal

Visa Sponsorship Relocation

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AI Summary

Architect and optimize scalable AI pipelines for BMW platforms, develop machine learning models with Large Language Models and Agentic AI, and implement robust CI/CD workflows for model monitoring and lifecycle management. Requires 5+ years of software engineering experience with strong AI/ML background and cloud platform expertise. Must have fluency in English and willingness to work in Lisbon with visa sponsorship support.

Key Highlights

End-to-end AI pipeline architecture and optimization

ML/DL model development with LLM and Agentic AI expertise

CI/CD implementation for automated training and model monitoring

Cross-functional collaboration with software engineers and data experts

Key Responsibilities

Architect and optimize end-to-end AI pipelines, transforming complex requirements into scalable, production-ready solutions

Develop machine learning and deep learning models, ensuring high performance and seamless integration into BMW's platforms

Implement robust CI/CD workflows for automated training pipelines, and ensure reliable monitoring, reporting, governance, and lifecycle management of AI systems

Continuously evaluate and optimize AI models and services for efficiency, accuracy, and real-time performance in large-scale environments

Work closely with cross-functional teams—including software engineers, data experts, and product visionaries—to engineer AI-driven solutions aligned with strategic objectives

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Technical Skills Required

AI Machine Learning Deep Learning Large Language Models Agentic AI MLOps Agile

Benefits & Perks

Competitive salary with awesome benefits

Relocation package and visa sponsorship

People Experience Partner career guidance

Empowering work culture with social and learning events

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Nice to Have

Experience with public cloud platforms, especially AWS

Experience with model comparison, security, privacy and FinOps in the context of AI

Job Description

We are looking for an AI Engineer in Lisbon who's eager to embark on an exciting new opportunity! 💪

🤩 About KWAN

We connect IT professionals with projects that match their skills, professional experience, and goals, then we offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

🚀 What is this challenge about

• Architect and optimize end‑to‑end AI pipelines, transforming complex requirements into scalable, production‑ready solutions.

• Develop machine learning and deep learning models, ensuring high performance and seamless integration into BMW's platforms.

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