AI Engineer Job at Purple Drive, Louisville, KY

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  • Purple Drive
  • Louisville, KY

Job Description

ob Summary:

We are seeking a highly skilled AI Applied Engineer to design, develop, and implement innovative digital solutions powered by Artificial Intelligence. The ideal candidate will bridge the gap between data science and engineering-transforming AI models into scalable, production-ready applications that deliver real-world business impact.

Key Responsibilities:

  • Design, develop, and deploy AI and Machine Learning (ML) solutions for digital transformation initiatives.

  • Collaborate with data scientists to operationalize AI models using MLOps best practices.

  • Integrate AI-driven components into existing enterprise systems and cloud platforms.

  • Build scalable data pipelines to support model training, testing, and deployment.

  • Leverage frameworks such as TensorFlow, PyTorch, or Scikit-learn for model development and optimization.

  • Work with cloud-based AI services (Azure AI, AWS SageMaker, Google Vertex AI, etc.) for large-scale deployments.

  • Apply Natural Language Processing (NLP) , Computer Vision , and Predictive Analytics techniques to solve complex business challenges.

  • Partner with cross-functional teams to identify opportunities for AI automation and digital innovation .

  • Ensure solutions meet performance, scalability, and ethical AI standards.

  • Maintain detailed technical documentation , conduct code reviews, and mentor junior engineers.

Required Skills & Qualifications:

  • Strong programming skills in Python , Java , or C# .

  • Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn).

  • Experience deploying AI models into production environments .

  • Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).

  • Familiarity with data engineering tools and ETL pipelines.

  • Understanding of cloud platforms (Azure, AWS, or GCP) and their AI/ML services.

  • Proven experience in digital transformation or intelligent automation projects.

  • Strong analytical and problem-solving abilities with a focus on innovation.

  • Excellent collaboration and communication skills.

Nice to Have:

  • Experience in Generative AI (LLMs, Prompt Engineering, LangChain, RAG frameworks) .

  • Exposure to Edge AI , IoT , or Real-time analytics .

  • Familiarity with API integration and microservices architecture .

  • Knowledge of Responsible AI principles and model governance.

Education:

  • Bachelor's or Master's degree in Computer Science , Artificial Intelligence , Data Science , or a related technical field.

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