Refonte Learning · 5 hours ago
AI & Data Science Training and Intership
United States
Internship
Remote
Intern
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Responsibilities
• Data Analysis & Modeling: Collaborate with cross-functional teams to analyze and interpret large datasets, extracting actionable insights that drive decision-making.
• AI Model Development: Assist in developing and optimizing machine learning models to solve complex problems, enhancing performance through data-driven approaches.
• Data Pipeline Engineering: Contribute to the design and implementation of secure, scalable data pipelines for efficient data processing and storage.
• Cloud Integration: Support the deployment of AI and data solutions in cloud environments (AWS, Azure, Google Cloud) with a focus on performance and security.
• Data Visualization: Create interactive and intuitive data visualizations that help stakeholders understand trends and make informed decisions.
• Continuous Improvement: Participate in refining and optimizing data workflows and AI models, ensuring high accuracy and scalability.
• Collaboration: Work closely with data engineers, AI specialists, and software developers to integrate analytics solutions across different platforms and projects.
• Research & Innovation: Explore emerging AI and data technologies to propose and implement innovative solutions that enhance business outcomes.
• Predictive Analytics: Develop AI models to predict trends, outcomes, and behaviors across various industries.
• AI-Driven Automation: Build automated solutions that leverage AI to streamline processes and improve efficiency.
• Data Integration & Management: Design and manage data architectures that handle large-scale, complex data environments in the cloud.
• Advanced Data Visualization: Create dynamic dashboards and reports that empower stakeholders with real-time insights.
• NLP & Text Analytics: Work on natural language processing projects to analyze text data, enhancing AI capabilities in language-based applications.
• AI Ethics & Compliance: Participate in developing AI solutions that adhere to ethical standards and comply with industry regulations.
Qualification
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Required
Currently pursuing a degree in Data Science, Computer Science, AI, or a related field, with a strong passion for advancing your knowledge in AI and Data Science.
Solid foundation in programming languages such as Python, R, or SQL, with experience in data manipulation and machine learning libraries.
Strong analytical skills with the ability to interpret and transform data into actionable insights.
Excellent communication skills—both written and verbal—capable of articulating complex data concepts and collaborating effectively with cross-functional teams.
Ability to work independently and as part of a team, demonstrating flexibility and problem-solving skills in a fast-paced, dynamic environment.
Company
Refonte Learning
Unlock your potential in the digital realm with Refonte Learning! We are an Ed-Tech powerhouse under Refonte Private Limited, offering comprehensive IT training programs.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase
