AI​/Machine Learning Engineer

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

• Bachelors Degree 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 Num Py Pandas scikit-learn Matplotlib etc.
• Deep learning frameworks such as PyTorch Tensor Flow
• 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 No
  
  SQL databases such as Postgre
  
  SQL Cassandra Mongo
  
  DB etc. is a plus
• Past history with AWS is a plus