AI, Data Science, DevOps, and Cloud Intern

Job Description

About Refonte

Refonte or Refonte AI is a leading IT corporation globally recognized for its expertise in providing top-notch IT and Ed-tech services. They specialize in Artificial Intelligence (AI), digital marketing, data science, data analytics, UI-UX design, web development, and app development. They are dedicated to innovation, excellence, and empowering talents worldwide.

Job Description: AI, Data Science, DevOps, and Cloud Intern

Refonte is seeking enthusiastic individuals for their prestigious AI & Data Science Study and Internship Program. This intensive initiative offers a unique opportunity to collaborate closely with their seasoned AI & data science team on diverse and impactful projects. Refonte is seeking individuals looking to learn AI & Data Science from beginning to advanced level while also working on live projects globally. The RGTIP (Refonte Global Training & Internship Program) is designed as a manner that offers you to work in a flexible work environment but also offers working with people in a global team from Oceania, Asia, Europe and American continents.

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: This project will involve building, configuring, and deploying AI infrastructure across multiple cloud platforms.
• Full Stack AI DevOps & Development: This project will involve developing and deploying AI solutions using a full-stack approach, encompassing both front-end and back-end development.
• Generative AI Model, Large Language Models and Foundations models to transform input to output: This project will explore the capabilities of generative AI, large language models, and foundation models to convert inputs (text, images, audio, or video) into various outputs.
• Finance Fraud Detection: This project will involve developing advanced fraud detection algorithms leveraging financial data analysis.
• Recommender System: This project will involve contributing to personalized recommendation systems, enhancing user experiences across platforms.
• Sentiment Analysis: This project will involve exploring sentiment analysis to extract insights from textual data, shaping user sentiment understanding.
• Chatbots: This project will involve engaging in intelligent chatbot development, revolutionizing customer interactions and support.
• Image/Audio Video Classification: This project will push boundaries with multimedia technology by working on image and audio video classification projects.
• Text Analysis: This project will uncover hidden patterns in textual data through sophisticated text analysis techniques.

Roles & Responsibilities:

• Collaborate with AI & data science experts to collect, clean, and analyze extensive datasets.
• Contribute to the development of predictive models and algorithms using cutting-edge machine learning techniques.
• Work closely with team members to design, implement, and evaluate experiments.
• Stay updated with the latest industry trends and best practices in data science.

Qualifications:

• Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.
• Exceptional written and verbal communication skills.
• Demonstrated ability to work both independently and as part of a cohesive team.

Benefits:

This internship offers an exciting opportunity to gain practical experience in AI, Data Science, DevOps, and Cloud technologies. If you are enthusiastic about technology and eager to learn, we encourage you to apply and join their team.

Note: This position is part of their unpaid AI & Data Science Study and Internship Program. Upon application, their team will contact you to proceed with the application details and joining process.

Location: Remote: United States