Gyrus AI
Santa Clara / Global
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Santa Clara / Global
Responsibilities
Research and implement appropriate ML algorithms and tools
Develop machine learning applications according to requirements
Select appropriate datasets and data representation methods
Train ML/AI algorithms and test them for accuracy, precision and recall.
Perform statistical analysis and fine‑tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Job Profile:
BachelorsDegree in Computer Science or related field required
Minimum 2 years experience designing and implementing time series forecasting.
Minimum 2 years experience designing and implementing machine learning solutions including supervised and unsupervised models.
Object oriented programming skills in one of Scala, Java, Python, C++.
Strong knowledge and understanding of machine learning pipelines from standardization, normalization, clustering, modeling, scoring, validation
Time series forecasting using regressions models and Recurrent Neural Networks (RNN) including LSTM .
Common data science toolkits, such as NumPy Pandas scikit-learn Matplotlib etc.
Deep learning frameworks such as PyTorch TensorFlow
Good scripting and programming skills
Processing, cleansing, and verifying the integrity of data used for analysis
Creating automated anomaly detection systems and constant tracking of its performance
SQL and NoSQL databases such as PostgreSQL Cassandra MongoDB etc. is a plus
Past history with AWS is a plus
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