Data Scientist

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas: DECSKILL TALENT : We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth. DECSKILL BOOST : Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations. DECSKILL CONNECT : Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value. At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress. We are looking for Data Scientist Requirements: Up to 5 years' experience as Data Scientist. Degree in Software Engineering or Computer Engineering or similar Programming: Strong proficiency in Python and experience with relevant libraries. Generative AI & LLMs: * Demonstrable experience building applications with Large Language Models on Microsoft Azure ecosystem, namely gpt-4o and o3. * Knowledge of Gemini 2.5 Pro and Claude 3.7 Sonnet a plus. Experience using Azure AI Services for TTS (eg ElevenLabs), STT (Whisper-large-v3), STS (gpt-4o-mini-realtime-preview, Azure Document Intelligence for OCR and Embeddings (text-embedding-3-small and/or text-embedding-3-large). Deep understanding of Retrieval Augmented Generation (RAG) architecture and principles. Hands-on experience with LLM orchestration frameworks, specifically LangChain and LangGraph. Backend API development using FastAPI. Knowledge of Guardrails for content safety and LangFuse for observability, evaluation and feedback. Microsoft Azure Cloud: * Proven experience developing and deploying applications on Azure. * Azure Functions and Logic Apps: Experience building serverless applications. * Azure OpenAI Service: Experience with deploying and using models like GPT-4 and text embedding models. * Azure AI Search / AI Foundry: Knowledge of creating and managing vector stores for similarity search. * Data Factory and Databricks for ingestion pipelines. * Azure Blob Storage: Familiarity with cloud storage solutions. * CosmosDB: Knowledge of creating and managing long-term memory. * Application Insights: Knowledge of logging. DevOps & MLOps: * Proficiency with Docker for containerizing applications, Azure Container Registry as a plus. * Experience deploying applications to multiple environments (e.g., dev, production) on Azure. * Familiarity with CI/CD principles and scripting for automation, namely GitHub Actions. * Secrets management using Azure Key Vault, GitHub and HashiCorp Vault Good written and verbal communication skills Ability to work in a collaborative environment and with global teams Critical analysis and problem-solving skills Knowledge of Agile methodology, JIRA tool and Confluence (valued) Commitment to quality deliveries . Experience with relational and NoSQL databases. Experience in developing machine learning projects (Python, R or SAS), deploying models to production environments and managing the life cycle of models. Proven experience in Machine Learning solutions, Generative AI, or related areas. Proven experience implementing GenAI solutions in enterprise environments. Ability to optimize and manage GenAI models in cloud infrastructures; Ability to lead teams and manage generative AI projects. Good level of english. If you’re interested in this job, please send your CV to with reference “CA/DataScientist”. Thank You