AI/ML Intern

As an AI/ML & Prompt Engineering Intern, you will contribute to impactful projects by leveraging cutting-edge technology, including tools like AI Studios and other AI-driven platforms, to accelerate innovation. You will gain hands-on experience in artificial intelligence, machine learning, and prompt engineering while solving real-world challenges.

Responsibilities:

• Design, develop, and deploy machine learning models for real-world applications.
• Craft, test, and optimize prompts for AI models (e.g., LLMs) to enhance performance and usability.
• Utilize AI Studios and similar platforms to streamline AI development, experimentation, and deployment.
• Perform data cleaning, preprocessing, and exploratory data analysis (EDA) to prepare datasets for training.
• Collaborate with cross-functional teams to integrate prompt engineering and AI/ML solutions into scalable products.
• Develop algorithms for predictive analytics, NLP, computer vision, or other domains, incorporating prompt-driven workflows.
• Create dashboards to monitor model performance and provide actionable insights using visualization tools.
• Research advancements in AI/ML, prompt engineering frameworks, and tools to drive innovation.
• Document processes, experiments, and results to ensure reproducibility and knowledge sharing.

Requirements:

Educational Background: Pursuing/recently completed a degree in Computer Science, Data Science, AI/ML, or related field.

Technical Skills:

• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with prompt engineering techniques (e.g., designing effective prompts, A/B testing, optimization for LLMs).
• Hands-on experience with AI Studios or similar AI development tools that accelerate model building and iteration.
• Familiarity with NLP, computer vision, or deep learning techniques.
• Knowledge of data manipulation (Pandas, NumPy) and visualization tools (Matplotlib, Tableau).
• Exposure to cloud platforms (AWS, GCP) and version control (Git) is a plus.

Soft Skills:

• Strong analytical, problem-solving, and creative thinking skills.
• Ability to communicate technical concepts clearly and collaborate in team environments.
• Adaptability and eagerness to learn emerging tools and methodologies.

Perks and Benefits:

• Hands-on experience with real-world AI/ML projects.
• Mentorship from experienced professionals in the tech domain.
• Opportunity to work in a fast-paced startup environment.
• Certificate of completion and potential for a full-time role based on performance.