Ai & Data Scientist Study & Internship

Description:

Refonte Learning is seeking enthusiastic individuals for our prestigious AI & Data Science Study and Internship Program. This intensive initiative offers a unique opportunity to collaborate closely with our seasoned AI & data science team on diverse and impactful projects.

Refonte Learning is seeking enthusiastic individuals who are looking to learn AI & Data Science from beginning to advanced level while also working on live projects globally. RIGTIP (Refonte Infini 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.

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.