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Radian is a fintech servicing the mortgage and real estate services industry. MLOps Engineer - 100% Remote page is loaded. MLOps Engineer - 100% Remote. As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Radian is helping to ensure the American dream of homeownership in even bigger and better ways with industry-leading mortgage insurance and a comprehensive suite of mortgage, risk, real estate, and title services.
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If you are looking to gain valuable experience in the fintech industry and make a positive impact, we encourage you to apply for this Equity Analyst Internship at Verde Finance. As an Equity Analyst Intern, you will have the opportunity to gain valuable experience in the fintech industry and make a positive impact.
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Your expertise in Python, shell scripts, SageMaker, IaaC (Ansible, Terraform), CI tools, Docker, Kubernetes and similar tools will drive efficiency and performance. Skilled with Python, Git, shell scripts, terminal (grep, sed, awk), Ansible, Docker, and Terraform.
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This position is fully remote and open to LATAM candidates only at this time. More Full Time Jobs Fintech Data Ops Manager Singapore, Singapore. COVID-19 tailwinds have created massive demand for telemedicine and home-based trials, with two new FDA guidance letters and industry-wide adoption of remote remote research that will only accelerate in the years to come.
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Configure and maintain systems such as Kubernetes (Helm, Charts, ArgoCD), Kafka, Spark, Elastic, Bitbucket / GitLab, Nexus, and Jenkins. Build automation for CI/CD and SaaS API delivery on AWS, Azure, Elastic and Snowflake.
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Related Articles A Comprehensive Guide to Python Cloud Computing Remote Jobs Guide to Remote Jobs in Python, Kubernetes, and Golang. Strong coding ability in Golang, experience in fintech/e-commerce, proficiency with partner APIs integration, fluent English level, proactive and independent Golang.
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This role provides additional flexibility should you want to work on-site at a Radian office. Whether you require an accommodation for the job application or interview process, Radian is dedicated to a barrier-free employment process and encourages a diverse workforce.
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Radian complies with all applicable federal, state, and local laws prohibiting discrimination in employment. Work with seniors as well as Data Engineering and IT to plan and deliver MLOps for AI/ML infrastructure and SaaS API services as member of data science team through collaboration.
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Seeing each other at Radian goes far beyond our open, flexible culture. Because when each of us is truly seen, each of us givesour best and at Radian, well give you our best right back. Radian is committed to a flexible work environment for many of our roles.
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Serve as the day-to-day contact for a group of clients, working with senior leadership within B2B and B2C financial services and technology (Fintech, Proptech and Insurtech) companies. Partners with established industry leaders and rising entrepreneurial organizations within financial services, fintech, insurtech and proptech.
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The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.
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We believe in your potential to grow, contribute significantly within months, and progress your career here at Radian. We hope youll see yourself at Radian. Radian's future is only as bright as its people.
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Defining Roles for Radian's Future. Radian participates in E-Verify [ Radian has also pledged to. At Radian, we see you. See More About Radian. And it means seeing our purpose as one that extends beyond the bottom line having an impact on communities across the country to help more people achieve the American Dream of homeownership.
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Strong communication skills, able to bridge the gap between data scientists, data engineers and external security, networking, DevOps and other IT infrastructure teams. Join us on this exciting journey where you'll play a key role in configuring and maintaining systems, building automation, and enhancing infrastructure security.
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