Plain Concepts
Senior AI Engineer (Generative AI & MLOps)
- Compensation
- Not disclosed
- Location
- Spain
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- More than 7 years of experience in AI / Machine Learning / Data Science.
- Capable of leading projects independently and mentoring other engineers.
- Experience building an “end-to-end software product” which has AI or Machine Learning components.
- Experience working with Azure or other cloud-based solution.
- Experience developing Generative AI solutions including LLM-based applications, RAG architectures, AI agents, or multi-agent systems.
- 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.
- Experience with ML frameworks (TensorFlow, Pytorch...) and MLOps tools (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 english and spanish (mandatory).
Full description
🚀 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 Senior 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 7 years of experience in AI / Machine Learning / Data Science.
- Capable of leading projects independently and mentoring other engineers.
- Experience building an “end-to-end software product” which has AI or Machine Learning components.
- Experience working with Azure or other cloud-based solution.
- Experience developing Generative AI solutions including LLM-based applications, RAG architectures, AI agents, or multi-agent systems.
- 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.
- Experience with ML frameworks (TensorFlow, Pytorch...) and MLOps tools (MLOps experience is very valuable for the team).
- Experience using GitHub Copilot or similar AI coding tools in real development workflows.