Data Scientist

{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"trabajo.org","value":"JOB-1044058783497154909"},"datePosted":"2026-05-21T08:29:17+02:00","validThrough":"2026-05-28T00:00:00+02:00","title":"Senior IA/ML Engineer","hiringOrganization":{"@type":"Organization","name":"Plain Concepts"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"","addressCountry":"ES"}},"description":"Overview We're Growing Our AI Dream Team We're not big on titles, but let's call this one Data Scientist for 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. What you will do - 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 joining 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 Responsibilities - 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 of models and infrastructure - Data analysis (data cleaning, variable transformation, etc.) - Developing and training ML models - Putting AI models into production - Parallelizing, optimizing, tuning, and testing models to deploy in a production environment Requirements - More than 7 years of experience in AI / Machine Learning / Computer Science - Ability to build an end-to-end software product with a machine learning component - Knowledge in applied computer vision - Strong skills in Python and reasonable SQL understanding - Experience in building ML/deep learning pipelines and models - Experience in implementing production-ready ML models using current ML/Deep learning techniques - MLOps experience is valuable - Experience in NLP projects is necessary - English is mandatory Nice to have - Experience with deep learning frameworks like TensorFlow, PyTorch, etc. - Experience with Big Data projects and tools - Experience writing RESTful web services - Experience with DevOps tools (Docker, CI/CD, etc.) - Experience with source code version control tools - Experience working with Azure or other cloud platforms - Azure Machine Learning experience is a plus - Experience with Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar - TensorFlow Lite, TensorFlow

Serving, gRPC - Unit testing knowledge - Solid object-oriented programming skills Benefits - Salary determined by the market and your experience - Flexible schedule (35 hours / Week) - Fully remote work (optional) - Flexible compensation (restaurant, transport, and childcare) - Medical and dental insurance (for the employee) - Individual budget for training or equipment and free Microsoft certifications - English lessons - Birthday day off - Monthly bonus for electricity and Internet expenses at home - Discount on gym plans and sports activities - Annual team-building events - Other perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, and access to a employee discount portal - The opportunity to work with the latest technological tools Selection process Simple, three steps: - Phone screen - Two interviews with the team About Plain Concepts Plain Concepts is a global company of over 500 people passionate about technology and innovation. We operate in more than 6 countries and work to drive cutting-edge projects worldwide. We are committed to technical excellence and known for developing customized projects, offering specialized technical consultancy and training. 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 focus on creating value with our clients. Our teams are diverse and multidisciplinary, operating in a flat, collaborative structure. We live and breathe AGILE principles and encourage knowledge-sharing and innovation. What we do We are a 100% technical team focused on crafting