AI/ML Engineer (GenAI)

🏢 Plain Concepts · all Plain Concepts jobs
📍 Spain
📅 Posted 2026-07-20 · via Himalayas
🏷 Generative-AI-Engineer,AI-Engineer,Machine-Learning-Engineer,Data-Scientist,MLOps-Engineer,AI-ML-Development,GenAI-Engineering-Lead,AI-ML-Engineer
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🚀 We’re Growing Our AI Dream Team!

Titles? Meh, we’re not big on them, but let’s call this one Data Scientist like the other colleagues at the team 😉

As part of our international AI/ML squad, you’ll craft tailor-made solutions that wow our clients. We’re hunting for a passionate AI Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action — and that’s just the beginning.
Here’s the deal:

- You’ll tackle the unique challenges of AI-powered software alongside a team of brilliant minds.

- You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact.

- Whether you prefer working from home or vibing with us at our offices, the choice is yours.

- AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check.

Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen! 😊
You will be responsible for:

- Participating in the design and development of AI solutions for challenging projects.

- Building production level ML/AI solutions, with solid software engineering and ML/AI principles.

- MLOps Automated deployment and monitoring (models and infrastructure).

- Data analysis (data cleaning, variable transformation, etc.).

- Developing and training ML/AI models.

- Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment.

Requirements

- More than 5 years of experience in AI / Machine Learning / Computer Science.

- Experience building an “end-to-end software product” which has AI or Machine Learning components.

- Experience working with Azure or other cloud-based solution.

- Strong skills in Python and reasonable SQL understanding.

- Experience in testing as essential part of development (unit, integration, etc.).

- Knowledges in NLP and Computer Vision.

- Hands-on experience across the end-to-end ML lifecycle, from development to production deployment, including designing and building scalable ML pipelines (MLOps experience is very valuable for the team).

- Experience using GitHub Copilot or similar AI coding tools in real development workflows.

- Constant drive to learn and ability to learn quickly.

- Strong team player mindset.

- Fluent spanish (mandatory).

Very nice to have:

- Fluent english (international environment).

- Experience with Big Data tools and cloud platforms (especially Azure).

- RESTful API development and DevOps practices (docker, CI/CD).

- Familiarity with recommendation systems, unsupervised learning, and ranking models.

- Cognitive services, Agentic AI...

- Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing.

- Strong object-oriented programming skills.

Benefits

- Salary determined by the market and your experience 🤑

- Flexible schedule 35 Hours / Week 😎

- Fully remote work (optional) 🌍

- Flexible compensation (restaurant, transport, and childcare) ✌

- Medical and dental insurance (completely free of charge for the employee) 🚑

- Individual budget for training or equipment and free Microsoft certifications 📚

- English lessons 🗽

- Birthday day off 🌴🥳

- Monthly bonus for electricity and Internet expenses at home 💻

- Discount on gym plan and sports activities 🔝

- Plain Camp (annual team-building event) 🎪

- Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees ➕ The pleasure of always working with the latest technological tools!

Will you let us know you better?

The selection process: Simple, just 3 steps.

- Phone screen

- 2 interviews with the team 🤘

What is Plain Concepts ?

Plain Concepts is a global company of over 700 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider r

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