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LLC (“Goal” or the “Company”) is an innovative consumer loan servicing and asset management company providing comprehensive and customizable solutions driven by technology, analytics, and industry expertise.
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Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert.
$95,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Were also a professional services company, consumer loan originator and servicer, payment processor, renewable energy innovator, and K-12 and higher education expert (and thats just a shortlist.
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Scalability: Design and implement scalable machine learning pipelines using cloud-based solutions on platforms like AWS, leveraging tools such as Terraform for infrastructure management. Familiarity with cloud platforms like AWS for machine learning solutions.
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Utilize CI/CD pipelines to automate the deployment and maintenance of machine learning solutions. You'll collaborate closely with Data Scientists, Data Engineers, and business stakeholders to bring machine learning solutions from conceptualization to production.
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You may know Nelnet as the nations largest student loan servicer but we do more than that. Large Language Models: Work with large language models, implementing them in various applications to provide advanced AI solutions.
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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Experience with infrastructure as code (IaC) tools like Terraform. Our Machine Learning Engineer role is at the core of this transformation, creating intelligent systems that automate processes, derive insights, and enable us to make better decisions.
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Model Development: Create, validate, and deploy machine learning models using advanced algorithms and frameworks like TensorFlow, PyTorch, or scikit-learn. Bachelor's or Master's in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
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Collaboration: Work closely with Data Engineers to ensure seamless data integration for machine learning models. TensorFlow, PyTorch, or scikit-learn. Nelnet is an Equal Opportunity Employer, complies with Executive Order 11246, and takes affirmative action to ensure that qualified applicants are employed, and that employees are treated during employment, without regard to race, color, religion/creed, national origin, gender, or sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by Federal or State law or local ordinance.
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Mentorship: Provide guidance and mentorship to junior team members in machine learning best practices. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
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Strong understanding of machine learning algorithms and statistical. Hands-on experience with machine learning frameworks such as. Your primary focus will be on designing, building, and deploying machine learning models to solve various business problems.
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Experience with containerization technologies like Docker and orchestration. Proficiency in using CI/CD pipelines for automating machine learning work. Minimum of 3 years of experience in machine learning engineering or.
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Experience in deploying machine learning models in production. If you're passionate about applying machine learning techniques to real-world challenges, we invite you to join our team and contribute to shaping the future of our business.
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Tools like Kubernetes. Must not be delinquent or in default with any federal debt. Employment and continued employment are contingent upon obtaining and maintaining a favorable security clearance. Model Optimization: Continuously refine and optimize models for improved performance and efficiency.
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Strong critical thinking, analytical and quantitative problem-solving ability. EEO Info ( | EEO Letter ( | EPPA Info ( | FMLA Info ( Documentation: Maintain thorough documentation for model architectures, data flows, and performance metrics.
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