Junior AI Specialist

<strong>Job Description<br><br></strong>Junior AI Specialist<br><br>Keypartner - Tulsa, OK<br><br><ul><li> On-site, Remote<br><br></li></ul>Machine Learning & Artificial Intelligence<br><br><strong>Job Description<br><br></strong>Siamo alla ricerca di un <strong>Junior AI Specialist</strong> che voglia apportare il proprio contributo nei processi di innovazione digitale e culturale delle aziende.<br><br>The resource will be part of a multidisciplinary team that aims to develop a new <strong>Modeler AI</strong> functionality within ApiShare: a system that, using LLM models and NLP techniques, allows the <strong>automatic generation of Swagger/OpenAPI specifications</strong> from functional descriptions for the user.<br><br>The junior profile will support the experts in the activities of <strong>data modeling, prompt engineering, fine-tuning and validation</strong> of the AI model, with particular attention to the <strong>correct semantic mapping</strong> between the functional requirements and the formal objects of the API specification.<br><br>Geographic Reference<br><br><strong>Responsibilities<br><br></strong><ul><li>Support the definition of optimal prompts for generative AI models</li><li>Collaboration with backend and UX developers to define the input/output flow of the functionality</li><li>Semantic analysis of functional documentation for mapping with specification</li><li>Automatic validation of generated Swagger files and testing on mock APIs</li><li>Study and exploration of new models or techniques to improve the accuracy of the AI modeler<br><br></li></ul><strong>Required Skills And Qualifications<br><br></strong><ul><li>Master's or Bachelor's Degree in Computer Engineering or Computer Science, with a focus or thesis on:</li><ul><li>Artificial Intelligence, Natural Language Processing or</li><li>PhD in AI</li></ul><li>Basic knowledge of Python and AI frameworks (e.g. PyTorch, Transformers)</li><li>Familiarity with REST APIs</li><li>Curiosity, proactivity and good knowledge of technical English</li><li>Knowledge of Python for AI/ML development</li><li>Familiarity with AI/ML frameworks: PyTorch, TensorFlow, Transformers (HuggingFace)</li><li>Basic knowledge of the REST API lifecycle and the OpenAPI/Swagger standard</li><li>Basic experience with prompt engineering and querying LLMs</li><li>Good understanding of the fundamentals of NLP, embedding, classification & generation tasks<br></li></ul><strong>Preferred Personal Qualities<br><br></strong><ul><li>Strong technological curiosity and orientation to innovation</li><li>Analytical thinking and ability to understand functional languages and formalize them</li><li>Ability to work in Agile and multidisciplinary teams</li><li>Autonomy and initiative in solving complex problems</li><li>Good knowledge of technical English<br><br></li></ul><strong>Bonus Points<br><br></strong><ul><li>University experiences in Generative AI or NLP</li><li>Knowledge of tools such as LangChain, LlamaIndex</li><li>Thesis or laboratory experience in the field of Generative AI</li><li>University or personal projects on OpenAI, HuggingFace, LangChain, LlamaIndex, etc.<br><br></li></ul><strong>What ApiShare Offers<br><br></strong><ul><li>Insertion in a fast-growing reality in the API world</li><li>A personalized growth path, tailored to individual development needs</li><li>Continuous training through internal academy, official certifications, workshops and mentorship by industry experts</li><li>Flexible working mode: you can choose between full remote or hybrid work at the Milan and Rome offices</li><li>An inclusive, transparent and collaborative environment, in which the contribution of each person is recognized</li><li>A meritocratic organization that values competence and desire for growth</li><li>An informal but professional work environment: we work hard, but with balance and humanity<br><br></li></ul>#J-18808-Ljbffr<br><br>Machine Learning & Artificial Intelligence

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