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Home Based Applied Engineer Jobs (NOW HIRING)

Deepgram

Senior Solutions Engineer, Federal

Washington, DC · Remote

$62.50 - $80.75/hr

Note: this role is based remotely out of the Washington D.C. Metropolitan area. About Applied ... One-time stipend for home office upgrades * 401(k) plan with company match * Tax Savings Programs ...

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Infographic showing various Home Based Applied Engineer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 15% Full Time, 70% Part Time, 10% Contract, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Applied engineer Artificial Intelligence(AI)

Purple Drive

Louisville, KY • On-site

$110K - $132K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview:
Job Description:
We are seeking a highly skilled Applied Engineer in Artificial Intelligence (AI) to design, develop, and implement AI-driven solutions that solve complex business challenges. The ideal candidate will have strong hands-on experience with AI/ML frameworks, data engineering, and model deployment, along with the ability to collaborate across digital transformation initiatives.
Key Responsibilities:
  • Design, build, and deploy AI/ML models and solutions for enterprise digital transformation projects.
  • Apply advanced machine learning, natural language processing (NLP), computer vision, and generative AI techniques to real-world business use cases.
  • Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications and platforms.
  • Develop data pipelines, preprocessing workflows, and ensure data quality for AI/ML models.
  • Optimize model performance, scalability, and reliability in production environments.
  • Evaluate and implement state-of-the-art AI research into practical solutions.
  • Work with cloud AI services (AWS, Azure, GCP) to deploy and manage AI workloads.
  • Ensure compliance with enterprise AI governance, security, and ethical guidelines.
  • Document processes, create reusable assets, and provide knowledge transfer to teams.
Required Skills & Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
  • Proven hands-on experience in AI/ML model development and deployment.
  • Strong programming skills in Python, R, or Java, with experience in ML/AI libraries (TensorFlow, PyTorch, Scikit-learn).
  • Experience with NLP, computer vision, deep learning, or generative AI models.
  • Knowledge of cloud-based AI platforms (AWS SageMaker, Azure AI, Google AI/Vertex AI).
  • Solid understanding of data engineering, feature engineering, and MLOps practices.
  • Strong problem-solving, analytical thinking, and communication skills.
Preferred Skills:
  • Familiarity with reinforcement learning, LLMs (Large Language Models), and transformer-based architectures.
  • Experience with AI solution integration into digital platforms (ERP, CRM, customer experience systems).
  • Certifications in AI/ML, cloud AI services, or related technologies.

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