Role Description Nous lançons un nouveau service premium de sessions individuelles de 30 min en visio entre nos apprenants et des formateurs experts. - Débloquer un apprenant sur une difficulté précise : méthode, compréhension, blocage technique. - Préparer aux examens, un oral ou une soutenance. - Redonner confiance et remotiver. - Faire avancer un projet ou approfondir un sujet clé du parcours. Qualifications - Expert reconnu dans votre domaine (diplôme, expérience terrain, pratique actuelle). - Statut freelance obligatoire : micro-entrepreneur, société ou portage salarial. - NDA obligatoire (si vous n'en avez pas, nous pouvons vous accompagner dans les démarches). - Disponible quelques heures par semaine. - À l'aise avec la pédagogie individuelle : accessible, concret, légitime - la Studi Touch. Requirements - Praticien de l'IA en activité : consultant IA, formateur IA, data scientist ou professionnel ayant intégré l'IA dans son métier (RH, marketing, gestion, juridique, création…). - Capacité à rendre l'IA concrète pour des apprenants de toutes filières et de tous niveaux : cas d'usage propres à chaque métier, prise en main d'outils, bonnes pratiques de prompting. - Aptitude à adapter la séance au contexte de l'apprenant : automatiser une tâche, fiabiliser une production, gagner du temps dans son futur métier. - Un plus : expérience de l'IA au service de l'apprentissage (méthodologie, révision, production de livrables) et connaissance du cadre européen (AI Act, RGPD). Benefits - Rémunération par séance - transparente, rapide, garantie. - Horaires 100 % flexibles : soirs, week-ends, journée - vous choisissez vos créneaux. - Paiement mensuel sous 15 jours. - Flux d'apprenants assuré par Studi - 0 prospection de votre côté. - Plateforme dédiée clé en main : réservation, visio, facturation sur une seule interface.

Role Description An AI Development Engineer is responsible for solving complex engineering problems by using AI to improve speed, quality, and cost efficiency. This role reimagines traditional software engineering for an AI-augmented world — moving from coding-heavy execution to system orchestration, structured thinking, validation, and agentic application development. The ideal candidate is a strong hands-on engineer who can work with AI tools, foundation models, multimodal systems, and research-driven implementation to build reliable, scalable, production-ready AI applications. Key Responsibilities - Translate ambiguous product or business requirements into clear technical specifications, system designs, and validation plans. - Build, maintain, and scale AI-powered production systems and agentic applications. - Design workflows where LLMs, VLMs, tools, APIs, retrieval systems, and traditional microservices work together reliably. - Use AI-assisted development tools while maintaining code quality, security, performance, and long-term maintainability. - Prevent AI-generated code bloat, dead code, and unnecessary complexity. - Build observability, evaluation, testing, and monitoring systems for AI-generated outputs. - Optimize prompts, model selection, workflows, and inference cost. - Apply Responsible AI principles including safety, privacy, fairness, transparency, and accountability. - Work with cross-functional teams across product, engineering, security, data, and design. - Mentor engineers to move from implementation-heavy development to system orchestration and AI-first engineering practices. Qualifications - Strong software engineering fundamentals and hands-on experience building production-grade systems. - Experience in one or more modalities such as vision/images, video, text, audio, speech. - Deeper knowledge and hands-on experience with LLMs, VLMs, multimodal AI systems, and foundation model architectures. - Ability to actively find, read, understand, and implement ideas from AI research papers. - Experience building or integrating agentic applications, AI copilots, RAG systems, workflow automation, or multimodal GenAI systems. - Strong understanding of system design, APIs, data flows, testing, observability, security, and production reliability. - Practical experience with prompt engineering, context engineering, model evaluation, benchmarking, and AI workflow orchestration. - Ability to convert ambiguous requirements into structured specs, implementation plans, and validation frameworks. - Strong debugging, problem-solving, communication, ownership, and learning agility. Requirements - NOTE: This is a 6-month contractual role, with the possibility of extension based on performance and business requirements. Benefits - Best-in-class salary: We hire strong talent and compensate accordingly. - Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners. - Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development. - High-impact work: Build AI-first systems and products used at scale by global clients. Company Description Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

Role Description For one of our partner companies, we are looking for a tech-savvy person who enjoys building practical AI solutions with Claude and other modern tools. In this role, you will turn business ideas into working digital solutions, focusing on building small but effective tools that help: - Process structured data - Check information - Improve workflows - Support internal decision-making You will work closely with a small professional team that knows the business processes very well. Your job is to understand what they want to achieve and then build smart, reliable, and easy-to-use solutions with the help of Claude and other suitable technologies. Your tasks will include: - Developing AI-supported tools and workflows based on real business needs - Using Claude to build, improve, and test practical automation solutions - Working with structured data from forms, documents, tables, or internal systems - Creating prototypes - Connecting tools, APIs, or databases where useful - Helping to transform manual processes into more efficient digital workflows Qualifications - Experience in programming, automation, or building digital tools - Good understanding of Claude, AI-assisted coding, and prompt-based development - Ability to work independently and find pragmatic solutions - Basic knowledge of APIs, data structures, and databases - Experience with Python, JavaScript, or similar technologies is a strong plus - Interest in business processes, data quality, and workflow optimization - Careful and reliable working style, especially when dealing with sensitive information - Good English skills are required - German skills would be a nice plus, but they are not a must Benefits - A fully remote position based in Greece - The opportunity to work on meaningful AI and automation projects - A practical environment where your solutions will actually be used - Close collaboration with experienced professionals - Flexible setup depending on your experience and availability - A friendly and supportive team at GRÜN smiles - A work environment where curiosity, practical thinking, and reliability matter more than formal titles

Role Description We are seeking an innovative and skilled AI Developer to design, build, and deploy artificial intelligence and machine learning solutions. This role requires a strong foundational expertise in AI development with the capacity to take on high-level technical challenges and guide project architecture. You will be instrumental in bridging the gap between raw data and intelligent, automated product features, working closely with our engineering and product teams to bring AI concepts into production. - Model Development: Design, train, and implement machine learning models and AI algorithms tailored to specific business needs. - Data Engineering: Assist in building and optimizing data pipelines, ensuring that data gathering, cleaning, and preprocessing are handled efficiently. - API Integration: Integrate both custom-built models and third-party AI APIs (such as Large Language Models) into existing software applications. - Deployment & Scaling: Deploy AI models into production environments, ensuring they are scalable, efficient, and reliable. - Testing & Optimization: Continuously monitor model performance, fine-tuning and retraining as necessary to maintain high accuracy and reduce bias. Qualifications - Experience: 3–5+ years of professional experience in software engineering, with a strong, proven focus on Artificial Intelligence and Machine Learning. - Programming Languages: Familiarity with other languages like Python, C++, Java, or JavaScript is a plus. - AI/ML Frameworks: Experience with industry-standard machine learning libraries and frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Keras). - Cloud & MLOps: Familiarity with deploying models on cloud platforms (AWS, Google Cloud, or Azure) and understanding of MLOps best practices. - Analytical Skills: Strong foundation in mathematics, statistics, and complex algorithms. - Autonomy: Highly self-motivated with the ability to take a project from conceptualization to deployment, comfortably bridging mid-level execution and senior-level architectural decisions. Requirements - Employment Type: Full Time - Location: Remote - Working Hours: US Business Hours Benefits - Performance-based raises - Minimum 5 days of time off annually - Annual cost-of-living-adjustments at one-year anniversary