Machine Learning Engineer
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Role details
Tech stack
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Job description
Develop, implement and distribute large-scale, scalable web apps for data science and machine learning solutions Maintain and improve data pipeline using machine learning infrastructure and existing machine learning models Data manipulation and statistical modeling Time series forecasting Utilize predictive modeling and optimize algorithms Define and communicate technical and design requirements Conducts unit tests, code reviews, assesses and improves site/software performance, and maintains design and code documentation In-depth understanding of web development and Content Management Systems Experience with one or more of the following including but not limited to: Python, Java, PHP, C/C++, C#, Objective C, Golang Familiarity with front-end languages such as HTML, JavaScript and CSS Usually responsible for writing the web services and APIs used by front-end developers and mobile application developers Experience with HTML and Frameworks such as React.Js, Flask, and Node.JS Knowledge of various DBMS technology Teradata, MySQL, MongoDB, Oracle, SQLServer
Requirements
Python, Plotly Dash, Streamlit REST API SQL Experience with designing, building, testing, and deploying scalable internal web applications for large organizations Able to understand and translate user requirements Git, use of documentation best practices
Desired Skills: Knowledge of various data science methodologies (anomaly detection, machine learning, regression, neural networks) Knowledge of various cloud data science platforms (Domino, GCP, AWS)
Education/Certifications: Degree in computer science, math or a related technical field.
Skills: Algorithms, Amazon Web Services (AWS), Application Programming Interface (API), C Programming Language, C++ Programming Language, CSS (Cascading Style Sheet), Cloud Computing, Code Reviews, Computer Science, Content Management Systems (CMS), Data Management, Data Science, Database Management Software/Systems (DBMS), Documentation, GCP (Good Clinical Practices), Go Programming Language (Golang), HTML (HyperText Markup Language), Internet Application, Java, JavaScript, Machine Learning, Mathematics, Microsoft C# (C Sharp), Microsoft SQL Server, Mobile Applications Development, MongoDB, MySQL, NCR Teradata, Neural Networks, Objective-C Programming Language, Oracle Database, PHP Scripting Language (PHP Hypertext Preprocessor), Predictive Modeling, Python Programming/Scripting Language, Requirements Management, Site Evaluation, Software Administration, Statistical Modeling, Statistics, Technical/Engineering Design, Unit Test, User Interface/Experience (UI/UX), Web Programming, Web Services
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