Machine Learning Engineer

Ensures software applications are built with quality while conforming to corporate and regulatory processes and practices by

Performing requirements analysis, proactively identifying deficiencies, ambiguities, and outstanding questions

Identifying and communicating clear distinctions between business requirements, design, and implementation constructs

Following established software patterns and development processes

Writing simple concise unit tests with appropriate code coverage

Identifying, documenting, and communicating steps to reproduce and workarounds for bugs

Identifying gaps and deficiencies in requirements, design, development, testing, support processes

Delivering tested code inconsistently timely fashion with a high degree of efficiency and a low frequency of bugs (or reopened bugs)

Identifying design alternatives, questions, and tradeoffs

Identifying gaps, problems, and weaknesses in software solutions by performing code and design reviews

SKILLS YOU HAVE

Technology: Data Science, Deep Learning, ML, Data Analytics, Data Visualization.

Other tools and Packages: Matplotlib, Seaborn, MySQL-Python, Scikit-Learn, Flask

Big Data Framework: