
Software Developer, Machine Learning - Algorithms
Design, implement and document data science/machine learning algorithms & solutions, using toolsets such as CNTK, Tensorflow, Keras, Pytorch, MX.NET and Scikit-Learn to support immunohematological analysis. Work with internal and external chemistry, software, and engineering groups to collaboratively plan, design and implement software using SCRUM methodology in an iteration-based approach (design, task, implement, test). Use Microsoft Azure DevOps to plan and manage development tasks, estimation, project backlog, and capacity planning. Perform and respond to peer code reviews in multiple programming languages. Document work both with in-code comments, and with a combination of generated and hand-crafted documentation. Work with and support Software Quality Assurance in their role of testing, verifying, and validating software modules. Utilize a mixture of C#, .NET, Python, PowerShell, C++ and more during development.
Experience developing Machine Learning algorithms.
10+ years of industry experience developing software.
At least four years of experience in data science, data engineering, machine learning, and API-based solution architecture
Experience writing algorithms to find the position of an object in a picture, used in the interpretation of a well for example
Experience in an FDA-regulated environment.
Scikit-learn
Tensorflow
Keras
Pytorch
Time Management Skills
MX.NET
API-based solution architecture
Driven and self-motivated
Adaptability
Problem Solving Skills
Detail Oriented and Organized
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a Software Developer, Machine Learning - Algorithms in 5500 E 2nd St, Benicia, CA 94510, USA is $83,000 to $142,000 per year. This range is based on surveys of software developers in the area and national salary averages.
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