Data Scientist, GenAI

• Craft tailor-made AI/ML solutions for clients
• Tackle unique challenges of AI-powered software alongside a multidisciplinary team
• Participate in the design and development of AI solutions for challenging projects
• Build production-level ML/AI solutions using software engineering and ML/AI principles
• Automate MLOps deployment and monitoring for models and infrastructure
• Perform data analysis, including data cleaning and variable transformation
• Develop and train ML/AI models
• Put AI models into production by parallelizing, optimizing, tuning, and testing models for deployment
• Work in agile, multidisciplinary teams with full project ownership

• 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.)
• Knowledges in NLP and Computer Vision
• 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
• Constant drive to learn and ability to learn quickly
• Strong team player mindset
• 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)
• 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

• 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)
• 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 plan and sports activities
• Plain Camp (annual team-building event)
• Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees
• Working with the latest technological tools