Responsibilities:

• Collaborate with the research and engineering teams to design, implement, and evaluate deep learning models for [specific project/task, e.g., image recognition, natural language processing, recommendation systems].
• Preprocess and clean large datasets to prepare them for model training, applying data augmentation and feature engineering techniques as necessary.
• Experiment with different model architectures, hyperparameters, and optimization techniques to improve model performance and efficiency.
• Conduct thorough evaluations of models using appropriate metrics, analyze results, and provide insights to guide model development.
• Stay up-to-date with the latest advancements in deep learning research and technologies, and contribute innovative ideas to our projects.
• Collaborate on code development using version control systems, ensuring code quality and documentation standards are met.
• Assist in the deployment of models to production environments and troubleshoot any issues that may arise.
• Communicate effectively with team members, presenting findings and progress updates in team meetings.

Qualifications:

• Currently pursuing a Bachelor's/Master's degree in Computer Science, Electrical Engineering, Data Science, Machine Learning, or a related field.
• Strong programming skills in Python and familiarity with deep learning libraries such as TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning concepts and algorithms, as well as experience in working with neural networks.
• Knowledge of data preprocessing techniques and ability to clean and transform data for effective model training.
• Proficiency in utilizing version control systems like Git for collaborative coding.
• Excellent problem-solving skills and the ability to think creatively to address challenges.
• Strong communication skills to convey technical concepts to both technical and non-technical team members.
• Passion for staying up-to-date with the latest trends in deep learning and artificial intelligence.

About Company:
mUni Campus offers a disruptive AI-powered digital stack for universities and organizations for supporting career discovery. Our Mission is to Eradicate the Birth Penalty by making quality education and meaningful work accessible to all by eliminating geographical and financial constraints. What is Seagull's end-to-end campus placement suite? Seagull is a cloud-based Centralized AI-powered Internship & Campus placement Suite helping students' career discovery journey. It enables educational institutes and corporate recruiters to manage campus recruitment economically, apart from other services. It supports career discovery for students by bringing students, Industry, education institutes, immigration services, etc. together on a single cloud platform and reduces challenges.

Website: www.municampus.com