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AI/ML Engineer

Nelnet

$70,000 - $135,000
Oct 20, 2025
Remote, US
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Nelnet is looking to drive the adoption of Agentic AI across the company, creating opportunities for people where they live, learn, and work.

Requirements

  • 1+ years experience creating end-to-end agentic workflows.
  • Ability to work with advanced AI methods (e.g., Naïve Bayes, Random Forests).
  • Experience with cloud-native resources (e.g., AWS Bedrock, GCP Vertex AI, Docker, Kubernetes, MongoDB, BigQuery).
  • Knowledge of AI technologies and techniques (e.g., GPT-4.0, Anthropic Claude, RAG, Neo4j, GraphRAG, multimodal AI, IBM Bee-Hive).
  • Experience with full stack development tools (e.g., VS Code, Python, JavaScript, React.js, Node.js, pyspark, scikit-learn, Jupyter, SQL).
  • Experience with machine learning models and large language models (LLMs).
  • Familiarity with AI governance, security, and compliance frameworks (e.g., NIST, OWASP, ATLAS-MITRE, GDPR).

Responsibilities

  • Agentic AI Expertise: Design, build, and optimize AI Agents using advanced methods (e.g., Naïve Bayes, Random Forests) and understand their impact on agent performance.
  • AI Communication: Explain AI concepts to both technical and non-technical audiences; facilitate training and pilot projects.
  • IT Infrastructure: Work across multi-cloud and on-premises environments, selecting appropriate cloud-native resources (e.g., AWS Bedrock, GCP Vertex AI, Docker, Kubernetes, MongoDB, BigQuery) to support AI initiatives.
  • Use Case Evaluation: Assess and recommend AI technologies and techniques (e.g., GPT-4.0, Anthropic Claude, RAG, Neo4j, GraphRAG, multimodal AI, IBM Bee-Hive) for various business needs.
  • Education & Advocacy: Serve as an AI advocate, coaching and empowering teams to develop and deploy AI Agents.
  • Responsible AI: Apply best practices in AI governance, security, and compliance (e.g., NIST, OWASP, ATLAS-MITRE, GDPR).
  • Full Stack Development: Build AI Agents end-to-end using tools such as VS Code, Python, JavaScript, React.js, Node.js, pyspark, scikit-learn, Jupyter, SQL.

Other

  • Bachelor’s degree in AI/ML Engineering, Computer Science, Data Science, or a related field (or equivalent experience).
  • Ability to obtain a U.S. 6C Security Clearance.
  • Must be authorized to work in the United States without the need for current or future sponsorship.
  • U.S. citizenship required due to security clearance requirements.
  • Must be able to pass a background check and drug test.