Machine Learning Engineer - Beaverton, United States - Insight Global
Description
The ML Engineer will develop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.
In product/systems improvement projects:
uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code.
Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
Can work with large scale computing frameworks, data analysis systems and modeling environments.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.
Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.
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Required Skills & Experience
4 or more years of experience with hands on coding
Very strong programming skills Experience in Data Science languages like python, Spark, Scala, etc.
Experience in distributed platforms that are big data friendly
History of deploying quality code directly into production
Basic Knowledge of AI/ML techniques, ie, neural networks, tree ensembles, regressions, etc.
Proven experience with feature engineering
Experience with databases, processing and storage frameworks
Experience with various hyperparameter tuning approaches and various cloud technologies
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.
Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.