Senior IA/ML Engineer (Eng/Esp)

🏢 Plain Concepts · all Plain Concepts jobs
📍 Spain
📅 Posted 2026-07-04 · via Himalayas
🏷 AI-Engineer,Machine-Learning-Engineer,Data-Scientist,Computer-Vision-Engineer,MLOps-Engineer,Senior-AI-ML-Engineer,Senior-ML-Engineer,Senior-Applied-ML-Engineer,Senior-AI-ML-Data-Engineer,Senior-AI-Engineer,Senior-ML-Engineering,Senior-AI-Analytics-Engineer,Senior-AI-ML-Operations-Engineer,Senior-AI-Engineering
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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 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 / Data Science.

- Can build 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.

- Strong background in NLP and Computer Vision.

- Experience building ML/Deep Learning pipelines and models.

- Hands-on experience with ML frameworks (TensorFlow, Pytorch) and MLOps tools (MLOps experience is very valuable for the team).

- Experience in implementing production ready ML models using current ML/Deep learning techniques.

- Constant drive to learn and ability to learn quickly.

- Strong team player mindset.

Very nice to have:

- Fluent english.

- 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 risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the worl

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