AI ML Engineer for Pattern Recognition, Computer Vision and Machine Learning Model Development

About the role

This internship offers a unique opportunity to engage in the development of AI and machine learning models, focusing on automation and intelligent systems. Interns will also gain practical experience in deploying models and understanding MLOps workflows.

Key facts

What you'll do

• Participate in the deployment of machine learning models and engage with workflows related to MLOps.
• Involve yourself in monitoring model performance and evaluating results in real-world settings.

Requirements

• Bachelor's or equivalent degree in Artificial Intelligence and Machine Learning, Artificial Intelligence and Data Science, Computer Science and Engineering, Electronics and Communication Engineering, or Information Technology.
• Master's degree in relevant fields such as Artificial Intelligence and Data Science (with a focus on Cyber Security), Computer Science and Engineering, Electronics and Communication Engineering, or Information Technology.
• Commitment to the entire 75-day internship period.
• Relevant skills and enthusiasm for the project focus areas.

Skills & tools

• Proficiency in Python
• Knowledge of SQL
• Familiarity with Docker
• Experience in Machine Learning
• Understanding of Deep Learning
• Background in Computer Vision
• Competence in Artificial Intelligence
• Skills in Pattern Recognition
• Experience with Predictive Analytics
• Knowledge of Data Analytics

Practical notes

• Working hours are from 9:30 AM to 5:30 PM.
• Stipend is disbursed upon successful completion of the internship; attendance below 75% disqualifies stipend eligibility.
• A police verification process is mandatory prior to joining.
• Accommodation is not provided.
• Personal devices such as smartphones and laptops are not allowed on-site; workstations will be available.