AI Engineer with Techyon Platform Position Available In Mecklenburg, North Carolina

Tallo's Job Summary: AI Engineer with Techyon Platform designs, develops, and implements AI and machine learning models for various tasks. Collaborates with cross-functional teams, conducts data analysis, and deploys AI solutions in production environments. Requires a degree in Computer Science or related field, 3+ years of AI/ML experience, proficiency in Python and ML libraries, and familiarity with cloud platforms.

Company:
Galent
Salary:
JobFull-timeOnsite

Job Description

AI Engineer with Techyon Platform
Design, develop, and implement AI and machine learning models for classification, prediction, NLP, and optimization tasks.
Collaborate with Data Scientists, Software Engineers, and Product Managers to integrate AI models into scalable products.
Perform data analysis, feature engineering, and model evaluation.
Deploy and monitor AI solutions in production environments using MLOps best practices.
Research and evaluate emerging AI technologies and frameworks.
Contribute to model documentation, version control, and reproducibility.
Requirements

Must Have:

Degree in Computer Science, Engineering, Mathematics, or a related field.
3+ years of experience in AI/ML development.
Proficiency with Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
Familiarity with REST APIs, Docker, and CI/CD pipelines.
Solid understanding of data structures, algorithms, and software engineering principles.
Nice to

Have:

Experience with NLP, computer vision, or time series modeling.
Familiarity with MLFlow, Kubeflow, or other MLOps tools.
Exposure to LLMs, generative AI, or reinforcement learning.
Prior experience working in Agile teams or startups.
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.
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Dice Id:

91081485

Position Id:

8642103

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