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AI & Data Science Training & Intern

Refonte Learning
Department:Data Analysis
Type:REMOTE
Remote Region:Australia
Location:Australia
Experience:Internship
Estimated Salary:Not specified
Skills:
ARTIFICIAL INTELLIGENCEDATA SCIENCEDEVOPSCLOUD TECHNOLOGIESDATA ANALYTICSMACHINE LEARNINGDATA VISUALIZATION
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Job Description

Posted on: November 29, 2024

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

Learn More: https://refontelearning.comJob Title: AI, Data Science, DevOps, and Cloud Intern

Benefits:

This internship offers an exciting opportunity to gain practical experience in AI, Data Science, DevOps, and Cloud technologies, working on impactful projects and contributing to the development of innovative solutions. If you are enthusiastic about technology and eager to learn, we encourage you to apply and join our team.

Job Summary:

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.

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.

Roles & Responsibilities:

- Collaborate with our esteemed AI & data science experts to collect, clean, and analyze extensive datasets, honing skills in data preprocessing and visualization.

- Contribute to the development of predictive models and algorithms, employing cutting-edge machine learning techniques to solve real-world challenges.

- Work closely with team members to design, implement, and evaluate experiments, fostering a collaborative and innovative environment.

- Stay updated with the latest industry trends and best practices in data science, applying newfound knowledge to enhance project outcomes.

Qualifications:

- Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.

- Exceptional written and verbal communication skills, vital for effective collaboration and articulation of complex ideas.

- Demonstrated ability to work both independently and as part of a cohesive team, highlighting adaptability and strong teamwork capabilities.

Benefits:

This internship offers an exciting opportunity to gain practical experience in AI, Data Science, DevOps, and Cloud technologies, working on impactful projects and contributing to the development of innovative solutions. If you are enthusiastic about technology and eager to learn, we encourage you to apply and join our team.

Note:

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

Location:

Remote, Australia

Learn More: https://refontelearning.com

Thank you for considering Refonte Infini Private Limited for your professional development in the field of data science. We look forward to welcoming you to our dynamic team.

Originally posted on LinkedIn

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