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Job Location: Nagpur, Maharashtra, India
Job Detail:
Position – AI/ML Intern
Experience – 0.6 Months to 1 Year
Location – Nagpur Preferred
Overview –
We are seeking a motivated and enthusiastic AI/ML Intern to join our dynamic team. The ideal candidate will have a foundational understanding of machine learning, computer vision, and data science concepts. This role will involve working on object detection and video analysis projects, contributing to the development and deployment of AI models.
Responsibilities –
– Assist in the development and implementation of computer vision algorithms using OpenCV.
– Utilize machine learning libraries such as scikit-learn for various predictive modeling tasks.
– Work on data preparation and feature engineering to ensure high-quality inputs for machine learning models.
– Perform exploratory data analysis (EDA) to uncover insights and guide model development.
– Participate in data mining and testing of models to improve accuracy and performance.
– Develop and deploy APIs using frameworks like FastAPI or Django for integrating AI models with other systems.
– Collaborate with team members to build, test, and deploy face recognition applications.
– Use deep learning frameworks such as TensorFlow and Keras to create and train neural network models.
Skills and Qualifications –
– Proficiency in Python programming language.
– Experience with data preparation and feature engineering techniques.
– Strong understanding of exploratory data analysis methods.
– Familiarity with data mining and testing strategies.
– Knowledge of machine learning libraries including scikit-learn, NumPy, and Pandas.
– Experience with computer vision tools such as OpenCV.
– Practical experience with deep learning frameworks like TensorFlow and Keras.
– Ability to develop APIs using FastAPI or Django.
– Understanding of neural network architectures and their applications.
– Problem-solving skills and the ability to work in a collaborative team environment.
– Strong communication skills to effectively convey technical concepts.
Preferred Qualifications –
– Experience with face recognition libraries and applications.
– Hands-on experience in object detection and video analysis projects.
– Knowledge of advanced neural network architectures and techniques.
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