Our client is seeking a dedicated and innovative Senior Full Stack Developer to join their dynamic team. This role is ideal for a professional who can bring modern machine learning and optimization models into production, working as part of a highly multi-disciplinary team of data scientists, software development engineers, strategic partners, product managers, and subject matter experts.
 

Key Responsibilities:

• Partner with Data Scientists and Data Engineers to operationalize machine learning and optimization models that deliver new insights to the business

• Build data APIs and data delivery services that support critical operational and analytical applications for our client's internal business operations, customers, and partners

• Ensure that model code, data pipelines, APIs, and user interfaces are developed and deployed successfully into production

• Troubleshoot issues that arise and support production applications

• Continuously integrate code into our client's on-premise and AWS cloud environments

• Transform data science prototypes into production-ready software products

• Optimize solutions for performance and scalability

• Coordinate activities with internal and external technology service providers

• Coach and mentor other developers on the team
   

Minimum Qualifications:

• BS/MS degree, preferably in a technical or scientific field

• 5-7 years of hands-on experience designing, developing, integrating, and running business, big data and/or data science applications

• 1-2+ years of hands-on experience working with AWS as a developer

• Experience developing Angular applications and with Java, SQL, and building REST APIs

• Experience using Agile/Scrum methodologies and with backlog management tools (e.g., VersionOne, JIRA)

• Strong problem-solving skills and capability to understand and set direction for complex technology integration
   

Preferred Qualifications:

• Experience with design patterns and implementation for machine learning and data science products

• Experience with design patterns and implementation using microservices architecture

• Experience with Redux / Flux / NgRx store implementation

• Experience developing, testing, and deploying APIs using Python-based frameworks such as Flask, FastAPI, and/or GraphQL

• Experience working with AWS Machine Learning tools (e.g., AWS SageMaker)

• Understanding and focus on business outcomes

• Strong teamwork skills
   

The ideal candidate will have a bias for action, excellent written and verbal skills, and the ability to communicate effectively with all levels of employees and management. They should also be a self-learner with the ability to pick up new technologies and provide tangible results. Functional knowledge of the airline business or airline IT processes is a plus.