Position: Machine Learning Engineering / Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 3


I have more than 3 years of ML/DS.
Have more than 2 years of experience with AWS and can build architecture for ML features for products. Now working mostly with NLP-specific tasks.

Works on different projects:
- NLP supervised & unsupervised learning 
- Google Analytics
- Data mining from different sites.
- Real-time object detection and classification (OpenCV + dark flow and Yolo ann model) 
- Image classification (Keras)
- Object detection (RetinaNet on PyTorch and Tensorflow)
- Calculation of the project budget and prediction profit
- Social profiles categorization by interest area
- Data Matching
- Recommendation/Personalization system

AWS:
S3, SQS, Kinesis, Lambda, Redshift, DynamoDB,
ECR, ECS, Fargate, SNS, SageMaker, Personalize, Step
functions, AWS Elastic Beanstalk, EC2

Also have experience with full-cycle development: from investigation to final implementation and monitoring feature.