AI Engineer Intern

Key Responsibilities:

• Model Development: Assist in developing and implementing AI/ML models, focusing on Generative AI.
• Research and Analysis: Stay updated on AI trends; analyze data for model improvements.
• Deployment and MLOps: Help deploy, monitor, and optimize models; contribute to CI/CD pipelines.
• Collaboration: Work with cross-functional teams on project requirements.
• Problem Solving: Propose innovative solutions for model efficiency.

Requirements

• Pursuing a degree in Computer Science, Engineering, Data Science, or related field.
• Understanding of AI, ML, deep learning, and Generative AI.
• Proficient in Python and AI/ML, LLM Framework
• Basic knowledge of MLOps principles.
• Strong problem-solving and communication skills.

Preferred Qualifications:

• Experience with cloud platforms
• Familiarity with Docker, Kubernetes, and Git.
• Understanding of data engineering and pipelines.

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