SENIOR DATA INTELLIGENCE RESEARCH ENGINEER

Spindox is a technology consulting company founded in 2007, recognized for its ability to blend research, vision, and pragmatism. In an era where digital transformation is crucial for business competitiveness, we responsibly deploy our resources—people, technological expertise, and contextual understanding—to tackle the evolving needs of our clients' businesses. Our offering includes industrial research, products, and cutting-edge technological consulting. Specifically, we cover Vertical Solutions, Emerging Technologies and R&D, Products & Services, User-Centric Experience, Data Intelligence, IT Strategy and Governance, Quality Assurance, Operations & Maintenance, and Cyber Security. Spindox has the highest growth rate in its sector (CAGR 2021–2023 of 25.5%) with 1,300 employees (as of December 31, 2023) across ten offices in Italy: Milan, Rome, Maranello (MO), Turin, Florence, Cagliari, Baronissi (SA), Trento, Bari, and Ivrea (TO). Spindox is not just a tech company; it’s an environment to explore your potential, push boundaries, and redefine what's possible. This is why we seek individuals eager to learn and deepen their expertise. Our culture values individual uniqueness and rewards merit. We are looking for people with imagination and passion. SENIOR Data Intelligence Research Engineer: Who You'll Work With and What You'll Do You will be based at our Torino office, joining a team focused on designing, developing, and applying Artificial Intelligence models to support decision-making processes. You will process and analyze data using statistical and Machine Learning techniques to extract insights that generate value for our clients. You will design, oversee, and contribute to the development of new solutions based on Machine Learning, including Large Language Models (LLMs) and multimodal models. Additionally, you will contribute to product innovation. What We're Looking For Master’s degree in Data Science, Management Engineering, Computer Science, Applied Mathematics, or a related field (PhD is a plus). Strong proficiency in Python. Knowledge of supervised and unsupervised Machine Learning models. Knowledge of multimodal generative AI models is a plus. Advanced knowledge of frameworks for Deep Learning and generative AI (e.g., PyTorch, TensorFlow, LangChain). At least basic proficiency in Java. Knowledge of relational databases and SQL. Experience with object-oriented design, programming, and testing. Ability to interpret metamodels such as XML or JSON. Knowledge of containerization techniques (e.g., Docker). Experience defining APIs based on OpenAPI standards (e.g., Swagger, Miredot). Experience with code versioning tools (e.g., Git) and automated deployment (e.g., Continuous Integration). Understanding of parallel and GPU-based computing and related technical/architectural challenges. Familiarity with Big Data technologies and frameworks (e.g., Hadoop, Spark, Kafka). Skills in descriptive and inferential statistics. Knowledge of Text Mining and Natural Language Processing (NLP). Ability to work with NoSQL databases (e.g., MongoDB, Cassandra, HBase) and graph databases (e.g., Neo4j, RedisGraph). Strong analytical and mathematical skills, a quantitative mindset, and excellent problem-solving abilities. Curiosity and a passion for researching and solving complex problems. Proficient in English. Preferred Qualities Strong interpersonal and teamwork skills. Excellent verbal and written communication and presentation abilities. A problem-solving mindset. Deep passion for data exploration, analysis, and model development to support strategic decision-making. Quantitative approach and analytical skills. Proactivity and interest in staying updated with new technologies. What We Offer Employment contract with a salary commensurate with experience. Meal ticket worth €7.50. Training programs. Welcome Kit: PC and smartphone. #J-18808-Ljbffr