Job description

Thank you for sharing your interests! Here at Cambium, we are always looking for passionate, talented people to join the team. If you have searched our current openings and haven’t been able to find a position that fits, we’d still love to hear from you! Please take a look at the below and fill out an application here. As soon as we have a similar opening that fits your skill set, we will reach out. We look forward to learning your interests! Job Overview: The right candidate will have the skills needed to perform full life-cycle software development to take research ideas and initiatives from concept/prototype to production quality software. This includes participation in research discussions, requirements gathering, application and database design, system documentation, writing and unit-testing efficient code, and deployment. Job Responsibilities: Implement high performance, scalable and reliable software solutions in Python on Linux or Windows platforms Develop and deploy synchronous and asynchronous REST API web services using Python frameworks Develop effective methods of ML model testing during all stages: development, deployment, and recalibration Train machine learning models, analyze performance metrics, and communicate results with visual and statistical aids Analyze, visualize, and summarize large multidimensional datasets Utilize best practices for software development of high performance systems around design, coding, automated unit and regression testing and deployment What we are often looking for: Bachelor’s degree in Computer Science or related field and 2 years professional software development experience Extensive experience with Python and python frameworks (e.g. CherryPy, Bottle, Flask, Django) Solid experience with multithreading and multiprocessing in Python on Linux and Windows platforms Solid SQL and querying databases through Python (e.g. pyodbc) Tools and frameworks for testing (unittest, pytest) and software versioning (Bitbucket) Self-starter, independent thinker and worker Excellent analytical skills Highly detail-oriented Good communication skills Ability to work well on a team as well as independently An Equal Opportunity Employer We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

Requirements

Must-haves

Implement high performance, scalable and reliable software solutions in Python on Linux or Windows platforms
Develop and deploy synchronous and asynchronous REST API web services using Python frameworks
Develop effective methods of ML model testing during all stages: development, deployment, and recalibration
Train machine learning models, analyze performance metrics, and communicate results with visual and statistical aids
Analyze, visualize, and summarize large multidimensional datasets
Utilize best practices for software development of high performance systems around design, coding, automated unit and regression testing and deployment
Bachelor’s degree in Computer Science or related field and 2 years professional software development experience
Extensive experience with Python and python frameworks (e.g. CherryPy, Bottle, Flask, Django)
Solid experience with multithreading and multiprocessing in Python on Linux and Windows platforms
Solid SQL and querying databases through Python (e.g. pyodbc)
Tools and frameworks for testing (unittest, pytest) and software versioning (Bitbucket)
Self-starter, independent thinker and worker
Excellent analytical skills
Highly detail-oriented
Good communication skills
Ability to work well on a team as well as independently
An Equal Opportunity Employer

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonrestapimlmachine learningsql

Platform: workday
Effort: long