Data Scientist

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. Train, deploy, and put groundbreaking developments into action
- and that's just the beginning. 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. Full ownership of projects? Ready to take on projects that matter, with a team that's as passionate as you are? Let's make it happen 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. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment. More than 5 years of experience in AI / Machine Learning / Computer Science. Experience building 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. Experience in testing as essential part of development (unit, integration, etc.). Hands-on experience across the end-to-end ML lifecycle, from development to production deployment, including designing and building scalable ML pipelines (MLOps experience is very valuable for the team). Experience using GitHub Copilot or similar AI coding tools in real development workflows. Fluent spanish (mandatory). Fluent english (international environment). Experience with Big Data tools and cloud platforms (especially Azure). RESTful API development and DevOps practices (docker, CI/CD). Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing. Flexible schedule 35 Hours / Week. Fully remote work (optional). Medical and dental insurance (completely free of charge for the employee). Individual budget for training or equipment and free Microsoft certifications. English lessons. Monthly bonus for electricity and Internet expenses at home. Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees.

About the company
Plain Concepts is a global company of over 700 people passionate about technology and innovation. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the world. We are known for developing highly customized projects, offering specialized technical consultancy and training. Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance. We pride ourselves on being a 100% technical team, dedicated to crafting custom projects from scratch, offering expert technical consultancy, and providing top-tier training. Our approach goes beyond traditional outsourcing; We live and breathe AGILE principles, ensuring flexibility and efficiency in everything we do.