K

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
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
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.

• Implement robust CI/CD workflows for automate 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.


🛠 What we are looking for

• 5+ years with a strong background in software engineering, digital platforms, and large-scale technology delivery.

• Solid understanding of AI, machine learning, deep learning, and generative AI, with a practical mindset.

• Experience with Large Language Models, Agentic AI and the applied usage patterns.

• Experience with model monitoring, observability, MLOps tooling, and Agile.

• Experience working with public cloud platforms is a plus, especially AWS.

• Experience with model comparison, security, privacy and FinOps in the context of AI is a plus.

• Fluency in English.


👉 Do you meet most of the position requirements? Then grab this opportunity and apply now! 🤩💪


What we offer

• A project that matches your skills and ambitions, as well as your preferences for working policies and culture.

• A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.

• An empowering and respectful work culture enriched with social and learning events.

• A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.

• A relocation package and visa sponsorship for all our international hires.


🙌 Some Words From Our Colleagues

“At KWAN, they make sure that I feel comfortable with the client I’m working for and that what I’m doing aligns with my career aspirations.”
 - Luis Caldeira, DevOps @ KWAN


👉 Grab this opportunity, apply now! 🤩💪


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