INNOCV Solutions

• Designing and implementing AI solutions aligned with business needs and technological standards. • Applying techniques like Retrieval-Augmented Generation (RAG) to improve AI interactions. • Developing Agentic RAGs to refine data retrieval and content generation. • Creating modular architectures for agents specializing in various tasks. • Leveraging Large Language Models (LLMs) for tasks like text generation. • Managing data ingestion pipelines and implementing serverless architectures. • Using DevOps and MLOps practices for automating AI model deployment. • Analyzing system performance and implementing optimization strategies. • Collaborating with designers and product teams to ensure solutions meet user needs.

• Designing and implementing AI solutions aligned with business needs and technological standards. • Applying techniques like Retrieval-Augmented Generation (RAG) to improve the precision and relevance of AI interactions. • Developing Agentic RAGs, incorporating autonomous agents to refine data retrieval and content generation. • Creating modular architectures for agents specializing in tasks like information retrieval, contextual inference, and data-driven decision-making. • Leveraging Large Language Models (LLMs) such as Gemini and Llama for text generation and question answering. • Designing and managing data ingestion pipelines, and implementing serverless architectures and Pub/Sub models to scale data intake. • Using DevOps and MLOps practices for automating the deployment and management of AI models. • Integrating APIs to connect AI models with external systems and to register events and metadata. • Optimizing performance by analyzing system performance, detecting bottlenecks, and implementing caching strategies. • Collaborating with designers and product teams to ensure AI solutions meet real business and user needs, while maintaining innovation through continuous research and experimentation.

• Design, develop, and maintain scalable data pipelines using PySpark to efficiently process large volumes of data. • Develop, test, and optimize Machine Learning models for predictive analytics, including regression, classification, and clustering techniques. • Manage and deploy Machine Learning environments and workflows using AWS SageMaker, while leveraging Athena for data querying and analysis. • Integrate Machine Learning models into production pipelines, ensuring proper monitoring, maintenance, and continuous improvement through MLOps best practices. • Collaborate closely with cross-functional teams to understand business challenges and translate them into data-driven solutions. • Conduct advanced data analysis using Python and SQL to deliver actionable insights. • Work collaboratively with multidisciplinary teams using Git/GitHub and agile development methodologies.

• Android application development in Kotlin and Kotlin Multiplatform. • Interface development in Jetpack Compose. • Integration with analytics and tracking tools: Firebase and Google Analytics. • Implementation of agile workflows with Scrum and Git flow. • Creation of clean code architectures and continuous maintenance of applications. • Implementation of unit tests and collaboration with the QA team. • Handling integrations with third party SDKs and cloud services. • Implementation of continuous integration processes to optimize application development and deployment (Sonar, AppCenter, Azure DevOps, ...).

• Join one of our teams focusing on web application development. • Analyze, define, design, and implement software architectures based on the latest tools on the market. • Plan and develop a digital product during its life cycle in collaboration with different team members. • Develop projects from scratch and technological solutions ensuring the quality, the correct upload to production, and the corresponding support.

• Support our clients in their digital evolution to achieve maximum efficiency in their businesses • Solve complex technological challenges with high-performance teams • Address technology challenges that have a significant impact on business • Combine technologies quickly and effectively

• You will join one of our teams, which excels in the following areas: Development of web applications in React.js or Angular.

• You will join one of our teams, which stands out for the following capabilities: Web application development. • Customer Onboarding flow architecture, with Mulesoft & Salesforce. • Analysis, definition, design and implementation of software architectures based on the latest tools on the market. • Planning and development of a digital product during its life cycle in collaboration with the different members of the team. • Development of projects from scratch and technological solutions ensuring the quality, the correct upload to production and the corresponding support. • Integration of new technologies for IoT process control. • On the services side: you will apply everything you know in Java with Spring Framework. • On the Big Data side: you will develop your skills with Spark/Datarick, Scala, ETL, Datalakes and Azure Data Factory.

• Progettare e costruire architetture scalabili per Data Lakes e Data Warehouses • Implementare e gestire processi ETL per estrarre, trasformare e caricare dati • Gestire database relazionali e non relazionali • Implementare tecnologie di elaborazione dei dati in tempo reale e integrare API • Definire politiche di governance dei dati

• Progettare, sviluppare e mantenere applicazioni web robuste, sicure e scalabili • Lavorare a stretto contatto con altri sviluppatori, designer e team di prodotto per costruire soluzioni allineate alle esigenze aziendali