About this role
One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.
What you'll do
- Development of new features planned for the release using the prefered technology.
- Engage in a range of activities daily, including data inspection, model training and evaluation, and deployment and testing
- Unit test Automation of identified tests .
- Create scalable/generic libraries.
- Documenting experiments, code, results, and findings.
- Continuously look for ways to optimize the process and testing approaches.
- Debugging and fixing failures in production environment.
The day-to-day
Addressing challenges related to data, algorithms, and model performance
Debugging and fixing failures in production environment.
Development of new features planned for the release using the prefered technology.
What you'll need
- 5+ Years of software development experience with good knowledge of computer science fundamentals
- Two or more years of experience in applying AI to practical and comprehensive technology solutions
- Experience in the end-to-end development of products integrating Machine Learning and Generative AI capabilities.
- Experience on any of the front-end JavaScript frameworks such as ReactJS, Angular or VueJS
- Experience building RESTful services using frameworks like FastAPI.
- Familiarity with cloud platforms like GCP or AWS, containerization, CI/CD and IaC .
- Strong verbal and written communication skills are essential, with a specific focus on crafting detailed user documentation. Frequent communication with remote international teams, both spoken and written, will be a core responsibility.
- Working with Database technologies in SQL or NoSQL, Query optimization, Fault tolerance
- Broad range of technology interests across different fields including computer and system architecture, web applications, Scalability, performance analysis, distributed systems design, and testing
- Bachelor’s degree in computer science, computer engineering or electrical engineering or equivalent experience in a technical field
What will help you on the job
Experience working effectively in Agile Scrum teams, including understanding and documenting user stories, and working effectively with product owners and customers.
Experience deploying and handling ML/AI solutions on AWS, GCP, or Azure.
EEO Statement
Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.
Other facts
About Viasat, Inc.
At Viasat, we go above and beyond. So you can too.
We believe connectivity is a catalyst that can help you unlock more value, improve operations and enable new experiences. We do this by delivering reliable, high-performance connectivity plus advanced digital platforms and services that help you transform every connection into an opportunity.
With over four decades of expertise and one of the world’s most advanced multi-network, multi-orbit satellite connectivity ecosystems, we are always ready to meet the unique demands of governments, businesses and communities. Whether you’re flying at 35,000 feet, operating in remote regions, or leading complex missions, we're here to help you get more out of your connectivity.
What you'll do
- The role involves developing new features, engaging in data inspection, model training, evaluation, deployment, and testing. Additionally, it includes debugging and fixing failures in the production environment.
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