Data Science and Software Engineering Specialist

AI Squared · Remote

Company

AI Squared

Location

Remote

Type

Full Time

Job Description

Since launching, AI Squared has successfully secured contracts with the Johns Hopkins Applied Physics Lab, National Security Agency, National Geospatial-Intelligence Agency, US Department of Defense and the US Air Force, as well as a Philadelphia-based top financial services company. 

 

Backed by venture capital firms NEA and Ridgeline Ventures, AI Squared was also awarded four Small Business Innovation Research grants from the US Department of Defense for its breakthrough technology. AI Squared’s remarkable merit was deemed by the US Federal Government as an innovative company that is ripe with potential to continue stimulating technological advancement and innovation. 

The US Federal Government recognized AI Squared as an innovative company with the potential to drive technological progress.

 

The trailblazer tech startup also earned recognition in leading media outlets for outstanding contributions in the AI space, these include Washington Business Journal’s Startups to Watch in 2023, DC Inno’s Fire Awards 2022, AI Magazine’s Top 10 Startups, CRN’s the Top 10 Hottest AI Startup Companies of 2023 and 2022, Technical.ly’s Top 20 DC Companies to Keep Your Eye on 2023, CIO Review’s Most Promising Low Code No Code Platform Solutions Provider 2023. AI Squared is also a member of Microsoft for Startups program.


Job Summary: 

 The Data Science and Software Engineer Specialist will possess expertise in building models that solve key business challenges and enhance customer experiences. This position has expertise in machine learning (including generative AI and large language models), data science, and Python software development. This position also uses advanced statistical techniques and machine learning algorithms. 

 

Duties & Responsibilities: 

  • Collaborate with cross-functional teams to understand project requirements and provide data-driven insights.  
  • Contribute to the design and development of software solutions, ensuring code quality and maintainability.  
  • Develop and implement machine learning models and algorithms to solve complex business problems for customers as needed.  
  • Work closely with customers to gather requirements, address concerns, and deliver tailored solutions.  
  • Contribute to product and platform development.  
  • Collaborate on open-source projects, sharing knowledge and contributing to the community.  
  • Utilize Git for version control and collaborative software development.  

 

Required Skills & Abilities: 

  • Proficient in Python programming with a focus on software development best practices.  
  • Strong experience with Git for version control in a collaborative environment. 
  • Excellent communication skills and the ability to work effectively with customers and cross-functional teams. 
  • Strong problem-solving skills and attention to detail. 
  • Willingness to learn and keep up to date on existing and emerging technologies.  
  • Experience and understanding of cloud computing technologies, especially AWS and Azure.  
  • Strong preference for candidates who have experience deploying or managing generative AI solutions.   


Education & Experience: 

  • Bachelor's degree in Computer Science, Mathematics, or a related field.  
  • 2+ years of hands-on experience in machine learning, data science, and software development.  
  • Experience contributing to and/or managing open-source projects. 
  • Experience in Financial Services, Healthcare Technology Management, or Federal domains. 

 

Physical Requirements: 

  • Prolonged periods sitting at a desk and working on a computer. 
  • Must be able to lift up to 15 pounds at times. 

 

Who We Are? https://squared.ai/

Accelerating the path of Machine Learning capabilities into the hands of the end user is a massive bottleneck preventing ML's full value being realized. As data scientists ourselves, we're frustrated by the time and resources involved in integrating ML into browser-based workflows. Our model integration framework solves this problem by eliminating the need for a bespoke model endpoint – just drag and drop a model file into our integration framework and visualize your model's inferences instantly!

Apply Now

Date Posted

02/17/2024

Views

19

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