• Develop suitable (Data management system or AI) products in technical areas using Machine Learning and Deep Learning techniques on big scale data.
  

• Collaborate with business teams from various industries.
  

• Eager to learn and follow research, prototype, and implement applications of ML and DL algorithms in real-world data science problems.
  

• Discover the proper ML approach for the business problem.
  

• Willingness to learn new technologies help advance best approaches for solving the business problem.
  

• Decent Understanding of object oriented programming (OOP)
  

• Identify valuable data sources and automate collection processes
  

• Undertake preprocessing of structured and unstructured data
  

• Extract data from multiple data sources, request the suitable data for the case.
  

Requirements

• 0-2 years of experience
  

• Bachelor/Master in Computer science, communication engineering, electronics engineering, computational engineering etc.
  

• Analytical mind and business acumen
  

• Strong math skills (e.g. statistics, algebra)
  

• Has a strong background in querying databases and using statistical computer languages (R, Python, etc.) (Proof of coding background through project portfolio is needed)
  

• Hands on experience on one or more of the frameworks and libraries: Sci-kit learn, TensorFlow, Keras, Open CV, nltk, PyTorch
  

• Has Strong mathematical and statistical background (Proof of at least 3 math courses at the university is needed)
  

• Visualization using BI tools (Tableau is preferred )
  

• Able to run ETL pipelines on large scale datasets from different sources.
  

• Must be detail-oriented, highly accurate and possess excellent problem-solving skills.
  

• Must be able to multi-task and stay organized.