Buscar empleo: 101 ofertas de trabajo de audio en en Almenara (agosto 2026)

DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS

hace 6 días

Madrid

ppLocation: Madrid, Spain /p pEnter our world. Transform with us. /p pWhat will be your challenge? /p pWithin our Competence Centre “xTech”, BIP has built one of the largest communities of Data Scientists, Data Engineers and AI specialists in Europe. From our international hubs, including Spain, we coordinate multidisciplinary teams delivering advanced data and AI solutions to leading enterprise clients across industries. /p pAs part of the continuous growth of this dynamic team, we are looking for professionals with strong hands‑on experience in Generative AI, data engineering and scalable AI architectures, with Databricks as one of the core technologies of the stack. /p pAs an AI Engineer – Generative AI Databricks at BIP, you will design and implement end‑to‑end AI solutions combining robust data pipelines, scalable lakehouse architectures and state‑of‑the‑art language models. You will work mainly with Python, PySpark, Databricks, Postgres and open‑source LLMs such as Qwen, helping clients transform complex business needs into production‑ready AI systems. /p pYou will work in project environments where data may come from structured and unstructured sources, including databases, documents, text, images, video, audio and enterprise applications. Your role will be to process, enrich, model and activate this data through advanced analytics, retrieval‑augmented generation, language model integration and AI‑powered automation. /p pProjects may range from building data pipelines and analytical foundations in Databricks, to implementing RAG architectures, adapting LLMs to specific business contexts, creating AI agents, deploying AI‑enabled applications and integrating AI capabilities into business workflows and enterprise systems. /p pIn addition to project delivery, you will actively contribute to our internal AI Community through technology scouting, reusable assets, solution design, best practices, accelerators and business development initiatives. /p h3Mandatory Requirements /h3 ul liMaster’s Degree in Computer Engineering, Mathematical Engineering, Computer Science, Statistics, Data Science, Artificial Intelligence, Telecommunications Engineering or related STEM disciplines; /li liStrong quantitative mindset, analytical skills and problem‑solving capabilities; /li liSolid programming experience in Python; /li liStrong hands‑on experience with PySpark for distributed data processing; /li liPractical experience working with Databricks, including notebooks, jobs, clusters, Delta Lake and data pipeline development; /li liExperience designing and implementing ETL/ELT pipelines in lakehouse or cloud data environments; /li liStrong knowledge of SQL and relational databases; /li liHands‑on experience with Postgres, including data modeling, query design and integration with analytical or AI workloads; /li liExperience processing structured and unstructured data, including text, documents, images or other enterprise data sources; /li liKnowledge of Generative AI techniques and Large Language Models; /li liHands‑on experience using open‑source LLMs, preferably Qwen or similar model families; /li liExperience building solutions based on Retrieval‑Augmented Generation, embeddings, vector search and semantic search; /li liKnowledge of prompt engineering techniques and LLM orchestration patterns; /li liExperience integrating AI models into applications, APIs, data workflows or business processes; /li liExperience with version control systems such as Git; /li liStrong understanding of model evaluation, data quality, monitoring and responsible AI principles; /li liFluent professional proficiency in Spanish and English. /li /ul h3Nice to Have /h3 ul liExperience with Qwen or other open‑source LLMs for enterprise AI use cases; /li liExperience working with multimodal AI models for document, image, video or audio understanding; /li liExperience fine‑tuning or adapting LLMs using techniques such as LoRA, QLoRA, PEFT or instruction tuning; /li liExperience with Hugging Face libraries, model repositories and open‑source AI ecosystems; /li liExperience with MLflow, particularly within Databricks, for experiment tracking, model registry and deployment lifecycle management; /li liExperience with vector databases or vector search technologies such as Databricks Vector Search, pgvector, ChromaDB, Qdrant, Pinecone or Elasticsearch; /li liExperience using Postgres extensions for AI or analytics workloads, especially pgvector; /li liExperience developing data products, APIs or backend services using frameworks such as FastAPI; /li liExperience with cloud platforms such as Azure, AWS or Google Cloud; /li liExperience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar managed AI services; /li liExperience with containerization and deployment tools such as Docker and Kubernetes; /li liExperience with orchestration tools such as Airflow, Databricks Workflows, Azure Data Factory or similar; /li liKnowledge of software development lifecycle, CI/CD and production‑grade engineering practices; /li liExperience working in Agile frameworks such as Scrum or Kanban; /li liExperience building AI agents, tool‑using LLM applications or workflow automation solutions; /li liExperience with data governance, security, access control and privacy requirements in enterprise environments; /li liExperience designing scalable data and AI architectures in cloud environments. /li /ul h3Soft Skills /h3 ul liStrong consulting mindset; /li liAbility to understand business problems and translate them into data and AI solutions; /li liExcellent communication and interpersonal skills; /li liClient‑oriented and results‑driven; /li liTeamwork attitude and ability to collaborate with multidisciplinary teams; /li liCuriosity and willingness to continuously explore new AI technologies; /li liAttention to detail and ability to work under deadlines; /li liAbility to explain complex technical concepts to both technical and non‑technical stakeholders. /li /ul h3Why BIP? /h3 ul liGrowth Learning /li liAccess to 300+ courses on emerging technologies and business topics, personalized development programs, and continuous training initiatives to support your professional and personal growth. /li liFlexibility Work-Life Integration /li liHybrid working model with flexibility to balance remote and office work in agreement with your manager and project needs, plus initiatives supporting work‑life balance. /li liHealth Benefits /li liPrivate health insurance, wellness platforms, meal vouchers, and an attractive benefits package. /li liFamily Parenthood /li liSupport for new parents, including enhanced parental leave benefits and dedicated initiatives during and after parental leave. /li liInclusion Values /li liWe promote uniqueness and equal opportunities for everyone. We are committed to creating an ethical, inclusive and welcoming work environment. /li /ul h3About Us /h3 pFounded in 2003, BIP combines the historical excellence of management consulting with innovation and digitalization. Today we are more than 5,000 professionals across 13 countries, delivering over 4,500 projects worldwide. /p pWe support our clients in driving large‑scale impact through Digital Transformation, Data Science, Artificial Intelligence, Cybersecurity, Industry 4.0, IoT and disruptive technologies across all industries. /p pWe believe in excellence as our guiding principle and adopt an ethical and fair approach toward everyone who chooses to work with us, fostering an environment where people grow together through diverse expertise. /p pBip Iberia, en compromiso y coherencia con la Ley Integral para la Igualdad de Trato y la No discriminación tiene abiertas todas las posiciones de búsqueda de perfiles a todas aquellas personas que estén debidamente cualificadas para cubrir la vacante, independientemente de su edad, discapacidad, género, orientación sexual o política, raza o creencia. /p pBUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L., con NIF B y contacto tratará los datos recibidos al aplicar su candidatura en la oferta como Responsable del tratamiento, con la finalidad de gestionar el proceso de selección actualmente activo en base a la aplicación de medidas precontractuales del artículo 6.1. b) del GDPR, así como para futuros procesos de selección si su perfil fuera de interés, en base al consentimiento del artículo 6.1 a). /p pBUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L. no comunicará sus datos a terceros salvo obligación legal. Así mismo, el periodo de conservación de su CV como máximo 1 año, en el que será destruido. /p pIgualmente puede ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento, portabilidad, y a no ser objeto de decisiones individualizadas automatizadas o consultar información adicional sobre el tratamiento en el correo : /p /p #J-18808-Ljbffr

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