IntelleQAcademy is hiring for Data Science and ML Intern
About the Company
IntelleQAcademy is inviting applications for Data Science and Machine Learning Interns who are eager to explore the world of intelligent technologies and data-driven solutions.
As a leading corporate learning and workforce development organization, IntelleQAcademy focuses on building industry-ready talent through practical learning, technical training, and professional development. Our programs provide learners with opportunities to bridge the gap between academic knowledge and real-world industry requirements.
As a Data Science and ML Intern , you will gain practical exposure to data preprocessing, exploratory data analysis, Python programming, machine learning algorithms, model development, and data-driven problem-solving. You will work on practical projects designed to strengthen your technical expertise and understand how data science and machine learning are applied in real-world scenarios.
This internship is an excellent opportunity for aspiring data scientists and ML professionals to enhance their skills, build meaningful projects, and develop a strong foundation for a career in the rapidly evolving field of artificial intelligence and machine learning.
Responsibilities
Assist in data collection, cleaning, and preprocessing.
Develop and implement machine learning models.
Perform data analysis and interpret results.
Collaborate with the team to design and execute projects.
Contribute to the documentation of processes and findings.
Requirements
We are seeking enthusiastic individuals with a background in technology. Candidates should have 0-30 years of experience and be eager to learn and contribute to real-world data science and machine learning projects. A solid understanding of fundamental data science concepts and programming skills are highly desirable.
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... Responsibilities of the Intern: - Design and develop AI/ML solutions and AI agents for real-world applications. - Build, train, test, and evaluate Machine Learning and Deep Learning models. - Work with structured and unstructured datasets. - Perform data preprocessing, cleaning, feature engineering, and data augmentation. - ...
... to ensure data science outputs integrate cleanly into agentic workflows.- Evaluate data quality and feature readiness for AI/ML consumption.- Present findings and recommendations to client stakeholders as https://jobeax.com/link/157UJ0YGZTFgXNZ4 Skills:- Strong data science background with hands-on Databricks/Spark ML experience.- ...