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...

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