Job Description: Intern Machine Learning Engineer

Position Overview:

We are seeking a motivated and talented Intern Machine Learning Engineer with 0-1 year of

experience to join our research team. This internship is an excellent opportunity for

individuals passionate about Machine Learning (ML), Deep Learning (DL), and Artificial

Intelligence (AI). The ideal candidate will have a solid foundation in Python programming,

API development, and databases, with strong mathematical and statistical skills. This role is

ideal for students or recent graduates in Computer Science or related fields with outstanding

academic records.

Key Responsibilities:

- Assist in the development and implementation of machine learning models and algorithms.

- Conduct research on cutting-edge machine learning and deep learning techniques.

- Collaborate with team members to integrate ML/DL models into applications.

- Develop APIs to support machine learning model deployment and integration.

- Work with relational and non-relational databases such as MySQL and MongoDB.

- Perform data preprocessing, cleaning, and transformation tasks.

- Participate in the evaluation and fine-tuning of models to ensure high performance and

accuracy.

- Document research findings, methodologies, and results.

- Stay up-to-date with the latest advancements in the field of machine learning and AI.

Required Skills and Experience:

- 0-1 year of experience in machine learning, deep learning, and AI.

- Strong proficiency in Python programming.

- Basic experience with API development.

- Familiarity with databases like MySQL and MongoDB.

- Solid understanding of mathematical concepts, statistics, probability, and algorithms.

- Ability to integrate Python applications with other systems.

- Strong analytical and problem-solving skills.

- Excellent academic record in Computer Science or a related field (Bachelor's or Master's

degree).

Preferred Qualifications:

- Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or

scikit-learn.

- Understanding of natural language processing (NLP) and computer vision techniques.

- Experience with data visualization tools and techniques.

- Knowledge of cloud platforms like AWS, Azure, or Google Cloud.

Education:

- Currently enrolled in or recently graduated with a bachelor's or master's degree in

Computer Science, Engineering, or a related field with a strong academic record.