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: Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.