Verified Job
IT / Software / Data Analyst
AI & ML Intern
IT / Software / Data Analyst
#792722
Remote / WFH
Planck Epoch Institute of Advanced Studies
Job Description
Position Overview
We are seeking a motivated and enthusiastic AI/ML Intern to join our team and contribute to the development of innovative machine learning and artificial intelligence solutions. This internship offers hands-on experience working on real-world AI projects, collaborating with experienced engineers and data scientists, and gaining exposure to the end-to-end machine learning lifecycle.
Key Responsibilities
Assist in collecting, cleaning, and preprocessing structured and unstructured datasets.
Support the development, training, and evaluation of machine learning and deep learning models.
Conduct exploratory data analysis and generate actionable insights.
Implement and test AI/ML algorithms using Python and relevant frameworks.
Help build and optimize data pipelines and model deployment workflows.
Research emerging AI/ML techniques, tools, and best practices.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Document experiments, methodologies, and model performance results.
We are seeking a motivated and enthusiastic AI/ML Intern to join our team and contribute to the development of innovative machine learning and artificial intelligence solutions. This internship offers hands-on experience working on real-world AI projects, collaborating with experienced engineers and data scientists, and gaining exposure to the end-to-end machine learning lifecycle.
Key Responsibilities
Assist in collecting, cleaning, and preprocessing structured and unstructured datasets.
Support the development, training, and evaluation of machine learning and deep learning models.
Conduct exploratory data analysis and generate actionable insights.
Implement and test AI/ML algorithms using Python and relevant frameworks.
Help build and optimize data pipelines and model deployment workflows.
Research emerging AI/ML techniques, tools, and best practices.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Document experiments, methodologies, and model performance results.
