Data Engineer MLE
hace 4 días
Madrid
ppINSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health. /ppThe activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state‑of‑the‑art facilities, 15 specialized RD centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development. /ppbReady to be a #Challenger? /b /ppbWhat are we looking for? /b /ppWe're AI Labs — the applied AI team at Insud Pharma. 30 people. AI Engineers, Data Scientists, DevOps Engineers, Product Managers building the systems that power how trials get designed, how patients get recruited, and how everything gets monitored once the trial is live. /ppClinical trials run on data. Bad pipelines, slow models, and infrastructure that breaks under pressure can cost months — or worse, the trial itself. /ppWe are seeking a highly skilled bData Engineer / Machine Learning Engineer /b to join our Applied AI Team. The ideal candidate combines strong software engineering foundations with hands‑on experience in data pipelines and machine learning systems, and enjoys working at the intersection between data, models, and production systems. /ppAs a Data Engineer / MLE at AI Labs, you will work closely with data scientists, software engineers, and product owners to bdesign, build, deploy, and operate end‑to‑end data and machine learning solutions /b across multiple business units — including Regulatory, Clinical Trials, RD, Pharmacovigilance, and Drug Manufacturing. /ppThis role is critical to ensuring that AI models move reliably from experimentation to production, supported by scalable data pipelines, robust ML infrastructure, and strong engineering standards. /ph3How the team works: /h3pAI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that: bflat, collaborative, and fast‑moving /b. You will work alongside Data Scientists, AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high‑quality work. /ppWe hold regular bdemo days /b where teams present their work, as well as bwhiteboard sessions /b where we tackle problems together. The cross‑disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city. /ph3The challenge! /h3ulliDesign, build, and maintain bscalable data pipelines /b for data ingestion, transformation, and serving, supporting both analytics and machine learning use cases. /liliDevelop and productionize bmachine learning pipelines /b, covering training, validation, deployment, and monitoring. /liliCollaborate closely with Data Scientists to translate notebooks and prototypes into brobust, production‑ready ML systems /b. /liliImplement model deployment patterns (batch, real‑time, or hybrid) using APIs, scheduled jobs, or event‑driven architectures. /liliBuild and maintain feature pipelines and data abstractions that enable reproducible and reliable model behavior. /liliEnsure data quality, versioning, and traceability across datasets and models. /liliOptimize pipelines and ML workloads for performance, scalability, and cost efficiency. /liliWork with DevOps and Platform teams to deploy solutions using containerization and CI/CD best practices. /liliContribute to defining bdata engineering and MLOps standards /b across AI Labs. Participate in code reviews, documentation, and mentoring to foster a culture of engineering excellence. /li /ulh3What do you need? /h3ulliProficient in bSpanish and English /b, written and verbal communication. /liliStrong proficiency in bPython /b, including clean code practices, packaging, and modular design. /liliSolid understanding of bsoftware engineering principles /b (OOP, SOLID, testing, version control). /liliHands‑on experience building bdata pipelines /b (ETL / ELT) using Python‑based frameworks or custom solutions. /liliExperience working with bmachine learning workflows /b, including model training, evaluation, and deployment. /liliFamiliarity with bREST APIs /b and service‑based architectures (FastAPI, Flask, or similar). /liliStrong experience with bGit /b and collaborative development workflows. /liliExperience with containerization (Docker) and cloud environments (AWS or Azure). /liliExperience with MLOps practices (model versioning, monitoring, drift detection, retraining strategies). /liliFamiliarity with orchestration tools (e.g., Airflow, Prefect, Dagster). /liliExperience with data storage systems (SQL / NoSQL databases, data lakes, object storage). /liliExposure to streaming or event‑driven architectures. /liliExperience deploying or operating ML systems in regulated or high‑reliability environments. /liliFamiliarity with ML frameworks and scientific libraries (NumPy, Pandas, Scikit‑learn, PyTorch, TensorFlow). /liliInterest in applied AI topics such as NLP, LLM‑based systems, or scientific computing. /li /ulpFlexible start time from Monday to Friday /ppTraining and language learning platform /ppWellness platform with unlimited free psychologist sessions /ppDevelopment plans, internal mobility policy. /ph3COMMITMENT TO EQUAL OPPORTUNITIES /h3pThe InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance. /p /p #J-18808-Ljbffr