Ai & Data Science Training & Internship

Job Description

We are excited to offer an internship opportunity for individuals passionate about the convergence of AI, Data Science, DevOps, and Cloud technologies. As an AI, Data Science, DevOps, and Cloud Intern, you will have the unique opportunity to gain hands-on experience in these dynamic and interconnected fields, working on innovative projects and collaborating with experienced professionals.

Responsibilities:

• Collaborate with cross-functional teams to develop, deploy, and maintain AI-driven solutions.
• Assist in collecting, cleaning, and analyzing data from various sources to derive actionable insights.
• Contribute to the design and implementation of scalable data pipelines for model training and deployment.
• Support the integration of machine learning models into production systems using DevOps best practices.
• Participate in designing and optimizing CI/CD pipelines for continuous integration, testing, and deployment of AI applications on cloud platforms.
• Assist in infrastructure provisioning, configuration, and monitoring using cloud services such as AWS, Azure, or Google Cloud.
• Work closely with data scientists and engineers to understand business requirements and translate them into technical solutions.
• Research and experiment with emerging technologies and tools in AI, Data Science, DevOps, and Cloud domains.
• Collaborate on documentation efforts to ensure knowledge sharing and best practices across the team.

Projects You Will Work On:

- Multi Cloud AI Infrastructure Configuration, Automation and Deployment

- Full Stack AI DevOps & Development

- Generative AI model, Large Language Models and Foundations models to transform input to output.

NB: Input can be text, images, audios or videos; Output can also be text, images, audios or videos

- Finance Fraud Detection: Develop advanced fraud detection algorithms leveraging financial data analysis.

- Recommender System: Contribute to personalized recommendation systems, enhancing user experiences across platforms.

- Sentiment Analysis: Explore sentiment analysis to extract insights from textual data, shaping user sentiment understanding.

- Chatbots: Engage in intelligent chatbot development, revolutionizing customer interactions and support.

- Image/Audio Video Classification: Push boundaries with multimedia technology by working on image and audio video classification projects.

- Text Analysis: Uncover hidden patterns in textual data through sophisticated text analysis techniques.