amentis solutions GmbH sucht eine/n Data Scientist/ML Engineer, der oder die Kundendaten analysiert, ML-Modelle entwickelt und produktionsreife Services gestaltet. Du arbeitest an Data-Management, GenAI-Themen und Analytics in einem dynamischen Team.
Du bringst fundierte Python-Kenntnisse, Erfahrung mit NLP/LLM-Architekturen sowie SQL- und OpenSearch-Kenntnisse mit. Remote-Arbeit mit flexiblen Zeiten wird angeboten; mentoring und moderne Technologien runden das Angebot ab.
... systems. The role involves improving model accuracy, integrating data sources, and analyzing performance data. Candidates should hold an MS in Machine Learning, Data Science, Economics, or Statistics and possess experience in statistical modeling, Python, and data pipelines. This is a remote position offering opportunities ...
... practical ML engineering experience, experience with large-scale data pipelines, and strong algorithmic and problem-solving skills. This is not a traditional Data Engineering role. The main focus is on building intelligent, production-ready ML systems and solving complex matching and algorithmic problems, with Data Engineering ...
... senior engineers; - Run experiments, tune model parameters, and evaluate results using appropriate validation approaches and metrics; - Help maintain reproducible ML pipelines, notebooks, experiment tracking, and technical documentation; - Write and maintain automated tests for data and model-related code; - Support the delivery ...
... optimize data pipelines and model code using PySpark, Pandas, and MLflow, write clean, production-ready code aligned with CI/CD best practices, and collaborate with Data Engineers and stakeholders throughout the entire lifecycle — from data exploration to deployment., , Note: Detailed project information will be shared during ...
... models and familiarity with common use cases for Generative AI. - Proficiency in Python and familiarity with software development best practices. - Experience with MLOps/MLLops for maintaining machine learning lifecycle. - Familiarity with Azure or AWS data science tooling. Nice to Have : - Familiarity with common Machine Learning ...
... optimize data pipelines and model code using PySpark, Pandas, and MLflow, write clean, production-ready code aligned with CI/CD best practices, and collaborate with Data Engineers and stakeholders throughout the entire lifecycle — from data exploration to deployment. - - Note: Detailed project information will be shared during ...
... production, Analyse data and perform feature engineering, Build, validate and deploy ML models, Run A/B tests and continuously monitor models in production, Work on ML solutions for payments and fraud prevention, Collaborate closely with Software Engineers, Product Managers and Designers, Translate complex ML concepts into practical ...
... - Monitoring AI, computer vision, and robotics trends to maintain a competitive technological edge, - Working closely with the CTO and, as the team grows, mentoring engineers joining the AI/ML function, - Translating customer feedback and market needs into robust AI/ML technical requirements, - Contributing to an internal ...
... znajomość praktyk MLOps i środowisk produkcyjnych Machine Learning,, doświadczenie w prezentowaniu wyników zespołom technicznym i nietechnicznym,, doświadczenie w mentoringu i promowaniu dobrych praktyk Data Science. To oferujemy, możliwość świadczenia usług w różnorodnych projektach z obszaru Software, Embedded, Data i Cloud ...
... environment. Your responsibilities, Build and optimize predictive models (e.g., churn, propensity, segmentation, CLV, recommendations), Analyze consumer and marketing data across multiple sources, Model and optimize customer journeys using AI/ML techniques, Collaborate with marketing and product teams to define analytical priorities, ...
... for data or ML services. - Strong testing practices, including TDD and unit/integration tests for Spark and Airflow. - Knowledge of Scala for high-performance data processing. Data Engineer We’re looking for an experienced Data Engineer to build, scale, optimize, and maintain reliable data platforms. You’ll work on real-time ...