Senior Data Scientist @ AVENGA

2 weeks ago

Wrocław, Czech Republic AVENGA (Agencja Pracy, nr KRAZ: 8448) Full time

Minimum 5 years of professional experience as a Data Scientist, Machine Learning Engineer, or in a similar role. Proven experience working with the Databricks platform. Hands-on experience with MLflow for building experiments and deploying models to production. Strong understanding and experience with recommender system algorithms and their deployment. Excellent knowledge of machine learning and deep learning algorithms (neural networks), with solid qualifications in statistics. Experience in applying classification and regression methods, as well as unsupervised learning techniques. Strong programming skills in Python and PySpark, with practical experience in TensorFlow, PyTorch, and Scikit-learn. Ability to optimize processing for large-scale model training, with knowledge of distributed training methods considered an asset. Familiarity with MLOps best practices. Understanding of CI/CD principles and experience with version control systems (GIT). Higher technical education in Data Science, Computer Science, Statistics, Mathematics, or a related field. Ability to select appropriate algorithms based on the problem and data characteristics (volume, structure, etc.). Design and execution of modeling experiments, prototyping, and industrialization of solutions within the existing MLOps ecosystem on Azure Databricks. Co-development of a recommendation system for digital client communication and price sensitivity models. Evaluation of model performance and experimental results, including identification and resolution of quality-related issues. Efficient selection of cloud computing resources with consideration for performance and organizational cost optimization. Design of optimized data pipelines for inference processes. Model maintenance, including monitoring of statistical quality metrics and troubleshooting of MLOps-related issues within the platform. Providing technical guidance and support to the team in model development and knowledge expansion in the area of Machine Learning. Conducting testing and optimization of ML models and algorithms. Extending and improving existing ML libraries and frameworks. Requirements: Python, MLOps, Databricks Tools: Jira, GIT, Agile, Scrum. Additionally: Sport subscription, Training budget, Private healthcare, International projects.

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