Descripción de la oferta
About Making ScienceMaking Science is an international digital acceleration company with more than 1,000 employees and a presence in 12 markets: Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Georgia, and the US. In 2021, Making Science joined Local Planet, the worlds largest network of independent media agencies, as a consulting partner specializing in digital, technology, and performance marketing for the international group, with the acquisition of a 7% stake in the general holding company.Making Science was ranked 15th in the FT1000: Europes Fastest-Growing Companies 2022, in the "Technology" category, and recognised as the fastest-growing Spanish company in the technology sector. Making Science also joined the Pledge1% initiative, supporting non-profit community organisations that are committed to making a major impact on the future.Our team is composed of more than 1000 digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data.Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person’s contribution is essential to achieve our success. Do you want to be part of this great family?What we’d like you to doShape the Bots Intelligence: Define how we use GenAI and linguistic techniques to make sure the chatbot accurately catches what users actually mean.Own Dialogue Quality: Take the lead on our dialogue QA process, ensuring the flow and quality of conversations stay sharp.Refine the Customer Experience: Tailor the chatbots conversational style to match our projects CX goals across every supported language.Train the Models: Keep our linguistic models in top shape by driving both their initial training and their continuous, day-to-day improvement.Fix Conversational Hiccups: Spot where the chatbot goes off track and design smart fallback strategies to gracefully steer the conversation back.Master Voice & Omnichannel: Analyze how the bot should behave in voice environments and tackle the unique challenges that come with multichannel setups.Handle Sensitive Situations: Carefully adapt conversational paths to handle high-stakes or delicate contexts with the right tone and empathy.Bridge the Gap: Act as the ultimate translator between our technical development teams and the linguistic data, providing clear technical and functional guidance.What we’d like you to bringHands-on Linguistics & GenAI Experience: A solid understanding of how to apply linguistic frameworks and GenAI techniques to map user intent.A Keen Eye for Dialogue QA: Proven experience leading quality assurance and testing specifically for conversational flows or virtual assistants.A Passion for CX: Experience tweaking conversational design to meet high customer experience standards in multilingual projects.Model Training Know-How: Practical experience training, evaluating, and continuously fine-tuning language models.Problem-Solving Skills: The ability to troubleshoot broken conversation loops and craft smooth, natural \"repair\" paths when a bot misunderstands.Voice & Multichannel Exposure: Familiarity with voice user interface (VUI) challenges and keeping experiences consistent across different platforms.Good Judgment under Pressure: The empathy and tactical thinking required to design responses for critical or highly sensitive scenarios.Great Communication Skills: The ability to confidently talk tech with developers while keeping a firm grip on the linguistic side of things.
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