Senior ML Engineer (Staff) at Visa

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, AWS, GCP, Kubernetes, Terraform, GitHub, GitHub Actions, Vertex AI, Cloud Run, Workload Identity Federation, Kubeflow Pipelines, Triton Inference Server, TensorRT, Data Security, Privacy Regulations

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Design, develop, and deploy scalable machine learning products with a focus on online prediction. Build and maintain infrastructure and tooling as a platform for data scientists. Collaborate with cross-functional teams to integrate ML solutions into production systems. Monitor and maintain the performance and reliability of ML models post-Fdeployment. Stay current with the latest advancements in machine learning and related technologies. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Comfortable work with multi-cloud setup and experience with AWS or/and GCP and containerized environment like Kubernetes. Solid understanding of machine learning lifecycle and fundamentals. Expertise in Python. Familiarity with Terraform, GitHub and GitHub Actions. Excellent problem-solving skills and attention to detail. Bonus Qualifications: Experience with Vertex AI, specifically in online prediction. Experience with Cloud Run and Workload Identity Federation. Experience with kubeflow pipelines Experience with Triton inference server and TensorRT Understanding of data security and privacy regulations. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Responsibilities

Design, develop, and deploy scalable machine learning products with a focus on online prediction. Collaborate with cross-functional teams to integrate ML solutions into production systems.