AI ML Engineer

Job Description
What You'll get to do:
•Design, develop, and implement custom software solutions for a variety of AI/ML-related pilot projects and use cases including Google Gemini AI.
•Develop and work with APIs including RESTful services, authentication methods, data formats, and handling API errors.
•Use SQL and NoSQL database including to evaluate and choose the appropriate database type based on the application requirements;
•Integrate SQL and NoSQL databases within the same application, when appropriate; and apply advanced understanding of security best practices for both SQL and NoSQL databases.
•Act as a member of one or more prototyping teams supporting teammates and collaborating to deliver working software applications on short timelines.
•Analyze complex project-related problems and creating innovative solutions involving technology, methodology, tools, and solution components.
•Actively participate in agile delivery phases and ceremonies including release and sprint planning, artifact creation, sprint testing, demonstrations, and retrospectives

You Will Bring These Qualifications:
•• Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria include, but not limited to:

o3-year check for felony convictions

o1-year check for illegal drug use

o1-year check for misconduct such as theft or fraud
•BA/BS and 7 years' experience in a related field, or equivalent
•Ability to analyze technically complex problems and develop and implement new and innovative solutions in a fast-moving and fluid software prototyping development environment.
•Expertise in multiple software developer languages including, but not limited to: YAML, JSON, Python, Java, JavaScript and TypeScript.
•Full Stack development experience including proficiency in both front-end (Angular) and back-end development, ability to handle all aspects of a web application from designing the user interface to managing the server and database.
•Ability to work with Data Scientist teams to integrate applications with AI/ML, Big Data, or BI solutions.
•Ability to work independently on a complex task with little direction and management oversight.

Desired Qualifications:
•Experience working with live data and video streams.
•Technical certifications such as AWS Certified Developer Associate.
•Experience with DevOps (CICD) solutions such as GitLab.
•Experience with AI/ML solutions or complex solutions for predictive analytics.
•Experience working in a geographically dispersed, remote team.
•Understanding of Data Science principles and best practices.