Senior Data Engineer / Data Scientist - Ai & Machine Learning - €130,000 - €130.000 A Year

AI-first HealthTech company
Frankfurt am Main, Germany
3 days ago
Apply on www.absolventa.de
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
€130,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure BigQuery Information Engineering Data Infrastructure Extract Transform Load (ETL) Python (Programming Language) Machine Learning SQL Databases Google Cloud Generative AI
+3 more
Data Management Machine Learning Operations Data Pipelines

Requirements

Senior Data Engineer / Data Scientist - AI & Machine Learning - €130,000A growing AI-first HealthTech company in the Frankfurt Rhine-Main region is hiring a Senior Data Engineer / Data Scientist.This is a senior hands-on role focused on building scalable data platforms, production-grade AI systems, and the infrastructure behind a live healthcare platform used every day in real-world therapeutic environments.You should be comfortable building and operating reliable cloud-based data systems while also understanding how machine learning and AI solutions are deployed, monitored, and maintained in production environments.Working closely with AI, engineering and product teams, you’ll help evolve the data platform, productionise machine learning and Generative AI solutions, and ensure data is transformed into insights that directly influence product and clinical decision-making.Why join?Meaningful AI impact in pediatric HealthTechLive production platform with real-world usageHigh ownership and visibility in a 30-person companyHybrid setup in the Frankfurt Rhine-Main regionBonus, stock options, 30 days holiday and strong benefits packageWhat you’ll bring:5+ years’ experience in Data Engineering, Data Science or Machine Learning EngineeringExperience deploying, operating or supporting machine learning and AI systems in production environmentsExperience owning systems in production and thinking beyond model development towards reliability, scalability, monitoring and long-term maintainabilityStrong background building and operating cloud-based data pipelines and data platformsExperience working in product-led environments where reliability, scalability and long-term maintainability were criticalIf you’re a technically strong Data Engineer who is comfortable with data science and AI topics and wants ownership and genuine impact, let’s talk. Apply now to avoid missing out.Keywords: Senior Data Engineer, Data Platform Engineer, Machine Learning Engineer, AI Engineer, Data Scientist, Python, SQL, BigQuery, GCP, AWS, Azure, ETL, Data Pipelines, Production Systems, MLOps, Machine Learning, Generative AI, HealthTech

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