Machine Learning Engineer - Hybrid Remote

My client , a fast-growing AI startup in Berlin, is transforming how biopharma companies analyze complex biomedical data. Their mission is to accelerate drug discovery and clinical decision-making through cutting-edge machine learning and data engineering. They\’re backed by top-tier European investors and are now expanding their technical team. We\’re looking for a Machine Learning Engineer with a strong foundation in both modeling and systems, ideally with exposure to biological or pharmaceutical data environments. &##128295; What You’ll Do Design, train, and deploy ML models on large-scale biomedical and clinical datasets Build end-to-end data pipelines to process structured and unstructured biopharma data Collaborate with data scientists, domain experts, and engineers to refine and productionize algorithms Own and improve core infrastructure for model monitoring, versioning, and reproducibility (MLOps) Explore new techniques (transformers, graph models, time-series) for predicting biological or therapeutic outcomes &##129520; Tech Stack You Might Use Languages : Python, SQL ML Frameworks : scikit-learn, PyTorch, TensorFlow, Hugging Face Data Tools : Pandas, Apache Arrow, Airflow, dbt Deployment : Docker, FastAPI, AWS/GCP MLOps : MLflow, DVC, GitHub Actions ✅ What We\’re Looking For ~2+ years of experience as an ML Engineer, Data Scientist, or similar ~ Strong grasp of ML fundamentals and experience shipping models to production ~ Comfortable with building data pipelines and working with large, messy datasets ~ Curiosity about biology, healthcare, or pharmaceuticals (prior experience a bonus) ~ Startup mindset—hands-on, proactive, and open to fast-paced environments &##128161; Bonus (Nice-to-Haves) Experience with bioinformatics, clinical trials, or pharmaceutical data Familiarity with generative models or transformer architectures Exposure to compliance or regulated environments (GxP, HIPAA, etc.) &##128640; Why Join? Work on real-world problems with a clear societal impact Be part of a high-trust, no-politics culture with deep technical talent Competitive salary, equity options, and flexible hybrid/remote work setup