Requirements: English
Company: Nebuly
Region: Milan , Lombardy
Join our missionNebuly AI is a well-funded, fast-growing VC-backed startup in the emerging AI sector. Nebuly is not only pioneering but defining a new market category: LLMs user analytics. Recognizing the immense potential of Generative AI, we are ambitiously charting unexplored territories, crafting a unique niche that no company has ventured into before.Thanks to Nebuly, companies can automatically capture how users interact with their LLM-powered chatbots / agents. Our platform is key to understand what LLM users like, what they dont and why, what are the most asked questions and how you can create personalised LLMs responses to delight your customers.Despite our youthful journey, demand for our product is skyrocketing, and our robust funding ensures we're poised for strong growth. Our team is a collective of forward-thinkers, committed to transforming industries with revolutionary AI products.We offer not only very competitive salaries, but also the opportunity to shape the AI landscape.If youre a skilled Python engineer with strong knowledge of AI systems, we want you.Examples of your daily responsibilitiesAs an AI Engineer, you will oversee data labeling processes and ensure the quality and consistency of training datasets critical to model performance. You will fine-tune proprietary large language models (LLMs) utilizing cloud-based GPU infrastructure, optimizing model accuracy and efficiency for specific business applications. Additionally, youll be responsible for integrating model outputs seamlessly into the broader platform, collaborating closely with software engineers to ensure robust deployment and optimal functionality. Your responsibilities will include:Oversight data labeling and training data qualityFine-tune proprietary LLM models on cloud GPUsIntegrate the model outputs with the rest of the platformOversight on model output quality with both automatic tools and human supervisionDevelop PoCs for AI features and once completed integrate them into productionWhat we look forMinimum of 3 years of professional experience in training and evaluating Neural Networks, with a particular emphasis on NLP tasks.Experience in training large deep learning models on multiple GPUsProfessional experience in using Python and common deep learning frameworks as PyTorch, HuggingFace Transformers and vLLM.Strong knowledge and experience with microservices architecture and building scalable systems.Strong knowledge of PostgresSQL and experience in working with ORMs like SQLAlchemy.Proficiency in designing and implementing RESTful APIs.Strong knowledge and experience with testing practices and frameworks, such as unit testing, integration testing, and end-to-end testing, using libraries like Pytest.Understanding of DevOps practices and CI/CD pipelines.What we offerHigh-impact work in small, fast-moving teams. At Nebuly, youll work in small, entrepreneurial teams with a high degree of ownership and autonomy. Regardless of your seniority, your contributions will have a direct impactfrom the earliest ideas to product launch. Youll have the chance to build things from scratch and see your code evolve into real products used at scale.A platform for real growth. As more and more companies rely on our platform to understand and optimize their AI experiences, new challenges and opportunities emerge constantly. This means your role wont stay staticyoull keep growing with the product, facing new technical and strategic problems as we scale.Competitive compensation stock options. We offer a competitive salary, tailored to your experience and location. In addition, youll have access to stock options so you can share in the value were creating together.Remote-friendly flexible. We believe great work doesnt have to happen in a fixed place or on a fixed schedule. Were remote-friendly, offer flexible working hours, and support you in setting up the conditions to do your best workwherever you are.The selection processFor most roles at Nebuly, heres what our hiring process typically looks like:Introductory Call (30min): Youll first speak with the person who initially contacted you or the hiring coordinator for the role. This is an informal chat where wed love to learn more about youwhat brought you to apply, your interests, and what excites you. We were impressed by your profile and want to give you space to ask questions and get a better sense of what we do at Nebuly. All conversation are held in English.Conversation with Your Future Manager (30min): Next, youll meet the person youd be directly reporting to. This call dives deeper into the role: the day-to-day responsibilities, challenges, and what success looks like. For technical roles, this will include a practical or coding interview.Logic Challenge (30min): A test with logic-based questions. This helps us understand how you approach unfamiliar problems.Behavioral Test (30min): Youll complete a short online behavioral assessment. This i