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Remote Nvidia Deep Learning Jobs in Georgia (NOW HIRING)

Strategy and Analytics, Credit

Atlanta, GA · On-site +1

$180K - $220K/yr

... deep understanding of identity and risk, and are informed by machine learning models and insights ... Remote Flexibility: Work from anywhere in the US with optional office access in Austin SF NYC ...

$80K - $85K/yr

Deep technical knowledge of Strategy, Paid Media, SEO, and CRO for tech companies * Strong SaaS ... Driven to stay ahead of industry trends, including actively learning how AI and automation can ...

$80K - $85K/yr

Deep technical knowledge of Strategy, Paid Media, SEO, and CRO for tech companies * Strong SaaS ... Driven to stay ahead of industry trends, including actively learning how AI and automation can ...

$80K - $85K/yr

Deep technical knowledge of Strategy, Paid Media, SEO, and CRO for tech companies * Strong SaaS ... Driven to stay ahead of industry trends, including actively learning how AI and automation can ...

$80K - $85K/yr

Deep technical knowledge of Strategy, Paid Media, SEO, and CRO for tech companies * Strong SaaS ... Driven to stay ahead of industry trends, including actively learning how AI and automation can ...

$150K - $175K/yr

You'll work on platforms that power mission-critical systems - all within a flexible, remote-first culture that values deep expertise, autonomy, and continuous learning. Key Responsibilities

Instructional designer-contractor

Suwanee, GA · On-site +1

$60K - $81K/yr

Deep understanding of adult learning theory and ability to apply instructional design best ... Additional Information This is a remote (WFH) position. Successful candidates need to work up to 40 ...

Instructional designer-contractor

Suwanee, GA · Remote

$60K - $81K/yr

Deep understanding of adult learning theory and ability to apply instructional design best ... Additional Information This is a remote (WFH) position. Successful candidates need to work up to 40 ...

In addition, the successful candidate will have deep understanding of solution selling, strong ... Learning Design, and Demo Excellence teams to operationalize and deliver these solutions Partner ...

Processing billions of data points a day, Geotab leverages data analytics and machine learning to ... In addition, the successful candidate will have deep understanding of solution selling, strong ...

Where: Remote options available with occasional travel for training or client needs. Why: To ... A supportive, growth-focused team environment that values initiative, learning, and strong client ...

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Remote Nvidia Deep Learning information

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What job categories do people searching Remote Nvidia Deep Learning jobs in Georgia look for? The top searched job categories for Remote Nvidia Deep Learning jobs in Georgia are:

Strategy and Analytics, Credit

Career Renew

Atlanta, GA • On-site, Remote

$180K - $220K/yr

Full-time

Medical

Posted 26 days ago


Job description

Career Renew is recruiting for one of its clients a Strategy and Analytics, Credit - this is a fully remote role for US-based candidates. Salary range: 180-220K USD yearly plus benefits plus equity.
We are the leading provider of innovative identity and risk solutions, empower institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others.

We are looking for a Strategy & Analytics, Credit Nerd with at least 5 years of experience to bring deep credit expertise to our team. We are seeking a highly analytical, hands-on individual contributor who can incorporate a credit-oriented approach into how we analyze data and demonstrate our product's value to partners.

What will you be doing?

  • Conduct deep, rigorous data analysis on prospect data to create proof-of-concept retro studies.
  • Analyze raw credit reports, draw vintage curves, and apply a credit-focused lens to data.
  • Partner with the sales team to build and deliver compelling, data-backed business cases and ROI narratives.
  • Present complex analytical findings to senior stakeholders at financial institutions.
  • Work with Python and Jupyter notebooks to perform rigorous data analysis.

Key Requirements:

5+ years of experience in hands-on credit risk analysis, working with raw credit data at a fintech or financial institution. (Mandatory)

Hands-on experience with raw credit reports and vintage curves (Mandatory)

Background at high-growth fintech or VC-backed startup (sub-500 employees). (Nice-to-have)

Founder experience or a strong entrepreneurial background. (Nice-to-have)

Degree from a top-tier university (or equivalent top-tier work experience) (Mandatory)

Credit domain expertise (Mandatory)

Deep understanding of analytical concepts like precision and recall (Mandatory)

Proficiency with SQL and/or Python for data analysis. (Mandatory)

Why candidates should join
  • Market Leader: We officially partner with 13 out of the top 15 banks in the US including JP Morgan Chase and Citibank. This shows our strong product-market fit and industry validation.
  • Proven Growth: $85M raised from top-tier investors like Andreessen Horowitz Craft Ventures and NYCA Partners. We're at 170 people and planning 100+ hires this year.
  • Industry Recognition: Forbes Fintech 50 company every year since 2023. We made history as the first eCBSV provider and testified before Congress.
  • Strong Compensation: $180K-$220K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents.
  • Remote Flexibility: Work from anywhere in the US with optional office access in Austin SF NYC Seattle LA and Chicago.