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Machine Learning Specialist
Parallel ConsultingBerlin, Germany, GermanyVor 16 Tagen
StellenbeschreibungProven freelance or professional experience as an ML Engineer (3+ years). Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with end-to-end ML workflows, including data preprocessing, feature engineering, and model evaluation. Good understanding of cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes). Solid knowledge of software engineering principles (version control, CI / CD, unit testing). Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker) is a plus. Based in Berlin or willing to work with significant overlap in CET. Background in [domain-specific expertise, e.g., NLP, computer vision, recommender systems]. Experience integrating ML into web or mobile applications. Familiarity with German data privacy and compliance standards (e.g., GDPR, DSGVO). German language skills are a plus but not required. Flexible working hours and remote-friendly culture. Work with a forward-thinking Berlin-based team on cutting-edge ML applications. Opportunity to shape solutions from scratch in an agile environment. A high degree of autonomy and ownership.
Responsibilities
- Develop, train, test, and deploy machine learning models in production.
- Collaborate with data scientists, software engineers, and product managers to define and implement ML use cases.
- Design scalable data pipelines and model serving infrastructure.
- Analyze model performance and improve accuracy, efficiency, and robustness.
- Document workflows, models, and experiments for internal and external stakeholders.
- Participate in code reviews and knowledge sharing within the engineering team.
Required Skills & Qualifications
Nice to Have
What We Offer
Jobalert für diese Suche erstellen
Machine Learning • Berlin, Germany, Germany
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