performance optimization

Revenue Cycle Success Manager - (Minneapolis, NYC, and Washington DC)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Revenue Cycle Success Manager in Minneapolis, NYC, and Washington DC.

This position offers an exciting opportunity to be a key player in driving customer success, optimizing revenue cycle processes, and contributing to the growth and innovation of services in a dynamic and fast-paced environment. As the Revenue Cycle Success Manager, you will act as the main point of contact for customers, ensuring their needs are met, issues are resolved efficiently, and the overall customer experience is enhanced. You will also collaborate with internal teams to improve processes and drive customer satisfaction and retention.

Accountabilities:

Job Skills

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Software Engineer - React Native - (Remote - Romania)

posted by: spj_bot

Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a Software Engineer - React Native, remotely from Romania.

As a Software Engineer in this role, you will be responsible for developing and optimizing mobile applications within the pharmaceutical industry, with a focus on Android and iOS platforms. You'll collaborate with teams to improve the application, implement AI-based solutions, and ensure the app runs efficiently. With a strong emphasis on refactoring and rewriting code, your expertise in React Native and TypeScript will be key to driving innovation and performance optimization across the project.

Accountabilities:

Job Skills

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ML Ops Architect

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

 

Job Description:

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.

Requirements

What you'll do in the role:

Job Skills

leadership terraform databricks cloud architectures compliance requirement cross functional agile system health version control scalable manage github high availability big datum distribute computing test automation workbench architectures technologies time performance engineers engineers computer science cloud compute visualization technologies manage cloud consultants airflow tableau job description azure data libraries azure databrick career development managed python experience designing google cloud platform collaborate reliable best practices azure machine learn analytics standard operating procedure programming machine learn creative perspective automated azure kubernete service governed data science google cloud market research scripting consulting scalability performance optimization real time azure monitor electrical engineering vulnerabilities collaborative machine learning infrastructure logging tracking scale e data pipelines ansible programming languages unix shell job scheduler processes tools
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