Position: Data Scientist / Python Developer
Category: Data Science
English level: upper
Years of experience: 5


Data science / Python development

• Establishing ML/DL services architecture.
• Data handling: preparing and cleaning datasets, synthetic data generation, pseudolabeling, semi supervised learning.
• Training and deployment object detection models.
• Text classification (lgbm, umap, LSTM, transformers).
• Inference runtime optimization (OpenVINO).
• Face recognition, metric learning.
• Unsupervised learning, cluster analysis, feature processing (tabular data).
• Datalake handling (pyspark, Sagemaker, Glue, CloudFormation).
• Backend services development (rest API, SQL queries optimization, building analytics dashboards).
• Python packages development (setuptools, tox, testing pipeline).
• Integration tests pipeline automation (Docker, localstack).
• Product demo presenting and delivery negotiation with clients.
ML services development and integration.