Software Engineer at Three Point Solutions, Inc.

We need one to Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.

HM's Top Needs:

• Algorithm development
• Software development for backend in the production set up
• Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
• Translates algorithms and technical specifications into production code.
• Performs comprehensive debugging, testing and documentation.

Education Required:

• 2+ years’ experience with a Bachelor in a quantitative science or related engineering discipline or
• Master in a quantitative science or related engineering discipline
• Nice to Have Ph.D. in computer science, mathematics, systems engineering, mechanical engineering, or closely related field

Nice to Have:

• Ph.D. in computer science, mathematics, systems engineering, mechanical engineering, or closely related field
• Digital signal processing, signal separation, signal extraction, or signal reconstruction
• Hadoop, MongoDB, HIVE
• Knowledge of Swift, Dart, or R programming languages
• Excellent written and verbal communication skills; open to presenting information to cross functional audiences and leadership teams.
• Drafting and generating written documentation, e.g. specifications, engineering reports, validation plans, and validation reports.
• Experience in a regulated environment, ideally within medical devices; medical data analytics (examples include data discovery, pattern recognition, machine learning and data modeling algorithms)

Description

duties:

• Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
• 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.

Experience:

• Hadoop: 2 years (Required)
• MongoDB: 2 years (Required)
• Algorithm development: 2 years (Required)