Machine Learning Software Engineer
Cisco
Meet the team
You will be joining a world-class team of Machine Learning Engineers and Software Engineers, contributing to the development of high-performance, production-grade software.
Your Impact
In this role, you will collaborate closely with Machine Learning Engineers to transform ML prototypes into scalable, maintainable, and efficient code. As a Software Engineer, you will also be responsible for identifying, developing, and modularizing reusable components, optimizing software architectures, and streamlining the AI development lifecycle to enhance efficiency, scalability, and maintainability across multiple projects.
You will:
* Write high-quality, production-ready code to tackle complex challenges using AI, shaping the future of intelligent applications.
* Champion best engineering practices, mentoring peers and driving technical excellence across the team.
* Identify and develop reusable tools and components that enhance efficiency across multiple projects.
* Design infrastructure and tooling that streamline model interactions, making AI integration seamless and scalable.
* Maintain and improve the stability, performance, and maintainability of the codebase, ensuring its success over the long run.
Minimum Requirements
* 3+ years experience with a good knowledge of Python
* An understanding of common ML concepts, required tooling and most used frameworks (i.e, PyTorch)
* Commitment to producing and maintaining high quality code with lots of "ilities"(maintainability, testability, reusability etc.)
* Very strong written and verbal communication skills, with the ability to communicate effectively with a range of audiences
* The ability to manage own workload, and that of a team, to work effectively and to deadlines
Preferred Requirements
* Experience with Rust/Go
* Experience in working with dispersed teams and collaborating asynchronously to successful complete tasks and project
* Understanding that testing, deploying and maintaining features is as important as developing them
* Strong and demonstrable understanding of Agile and DevOps methodology
* An enthusiasm for working with and developing knowledge of emerging technologies
* Experience with cloud and containerisation technologies (AWS, Docker, Kubernetes etc)
\#WeAreCisco
\#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
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