Senior IA/ML Engineer
Company: Plain Concepts
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-04-30
About this role
🚀
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 / Computer 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 framework...