Job Description
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Performance
Research and develop AI/ML models, particularly in Generative AI.
Implement, test, and optimize AI models for real-world applications.
Assist in building and maintaining MLOps pipelines to streamline model deployment.
Collaborate with cross-functional teams to analyze data and improve model performance.
Integrate AI solutions with cloud platforms and containerization tools like Docker, Kubernetes.
Debug and troubleshoot AI models, ensuring high accuracy and efficiency.
CUSTOMER SATISFACTION
Ensure AI models meet performance expectations and user requirements.Communicate effectively with the development team to resolve issues impacting user experience.
QUALIFICATIONS
- Pursuing or recently completed a degree in Computer Science, AI, or related field.
- Strong knowledge of Machine Learning, Deep Learning, and AI frameworks.
- Experience with Python and data preprocessing.
- Familiar with MLOps, cloud platforms, and containerization (Docker, Kubernetes) is a plus.
- Familiar with data preprocessing, model training, and evaluation.
- Hands-on experience with AI frameworks.
- Experience with Git for version control.
