Job Summary (AI Engineer):
- Design, develop, test, and deploy AI and machine learning models and solutions.
- Build AI-powered applications using Python and AI frameworks.
- Collect, clean, process, and analyze data for AI model training and evaluation.
- Implement machine learning and deep learning algorithms to solve real-world problems.
- Work with Large Language Models (LLMs), Generative AI, and prompt engineering techniques.
- Integrate AI models into existing software systems using APIs.
- Evaluate and improve AI model performance, accuracy, and efficiency.
- Collaborate with cross-functional teams, including software engineers, data scientists, and product teams.
- Maintain technical documentation and adhere to software development best practices.
- Support the deployment, monitoring, and continuous improvement of AI models.
- Utilize strong programming skills in Python and knowledge of relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Apply understanding of machine learning concepts, data preprocessing, feature engineering, and model evaluation.
- Use familiarity with deep learning frameworks (TensorFlow, PyTorch, Keras) and database/SQL skills.
- Leverage experience with REST APIs and application integration.
- Demonstrate strong analytical, problem-solving, and communication skills.
- Preferred: experience with Generative AI, LLMs, LangChain, Hugging Face, cloud platforms, Docker, Kubernetes, MLOps, and CI/CD pipelines.
- Education: Bachelor’s or Master’s in Computer Science, AI, Data Science, IT, or related field; relevant projects or internships are a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10509003
- Position Id: 149-39666-1793399815
- Posted 15 hours ago
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