Data Science and Machine learning Engineer Permanent NEW

Responsibilities

• Study and transform data science prototypes
• Design machine learning systems
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Skills:

• Strong hands-on experience in Python, R, or Octave
• Good knowledge in mathematic modelling, statistics, probabilities.
• Understanding on Machine Learning technics, Neural Network, Linear regression, sentiment analysis, Clustering, anomaly detection, NLP, chatbot, Topic Modelling, Entity Recognition.
• Experience in UI presentation, QlikSense, Power BI, R Shiny, orD3.js
• Strong knowledge in SQL (Oracle, MySQL, MariaDB), CI/ CD and devops
• Familiar with Linux operation system