Role overview

Senior IA/ML Engineer (Eng/Esp)

Requirements and responsibilities

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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 β€” it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check.

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 β€œend-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 πŸ€‘
  • 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) πŸš‘
  • Individual budget for training or equipment and free Microsoft certifications πŸ“š
  • English lessons πŸ—½
  • Birthday day off 🌴πŸ₯³
  • Monthly bonus for electricity and Internet expenses at home πŸ’»
  • Discount on gym plan and sports activities πŸ”
  • Plain Camp (annual team-building event) πŸŽͺ
  • Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees βž• The pleasure of always working with the latest technological tools!

Details

  • Salary determined by the market and your experience πŸ€‘
  • 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) πŸš‘
  • Individual budget for training or equipment and free Microsoft certifications πŸ“š
  • English lessons πŸ—½
  • Birthday day off 🌴πŸ₯³
  • Monthly bonus for electricity and Internet expenses at home πŸ’»
  • Discount on gym plan and sports activities πŸ”
  • Plain Camp (annual team-building event) πŸŽͺ
  • Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees βž• The pleasure of always working with the latest technological tools!

Will you let us know you better?

  • Phone screen
  • 2 interviews with the team 🀘

What we do at Plain Concepts?

  • Our approach goes beyond traditional outsourcing; we focus on creating value together with our clients.
  • Our teams are diverse and multidisciplinary, operating in a flat, collaborative structure.
  • We live and breathe AGILE principles, ensuring flexibility and efficiency in everything we do.
  • Knowledge-sharing is at our core: from supporting each other internally to contributing to the broader tech community through conferences, events, and talks.
  • Innovation drives us β€” even the boldest ideas are welcome here.
  • Transparency underpins all our relationships, fostering trust and long-term partnerships.
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FocusAI EngineerRole area
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