About the role
We are looking for a highly motivated Machine Learning Intern to join our team. This role is ideal for students or recent graduates who are passionate about data science, artificial intelligence, and solving real-world problems using machine learning techniques.
Responsibilities:
- Work with large datasets to clean, preprocess, and analyze data for machine learning models.
- Implement, train, and evaluate machine learning algorithms for various use cases.
- Develop and fine-tune predictive models using supervised and unsupervised learning techniques.
- Assist in optimizing and deploying ML models into production environments.
- Collaborate with data engineers, software developers, and business teams to understand project requirements.
- Document findings, experiment results, and best practices for future reference.
Requirements:
- Currently pursuing or recently completed a Bachelor's/Master's/Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Strong knowledge of Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with SQL and databases for data extraction and manipulation.
- Experience with visualization tools like Matplotlib, Seaborn, or Plotly is a plus.
- Knowledge of cloud platforms (AWS, GCP, or Azure) and MLOps practices is a bonus.
- Strong analytical and problem-solving skills.
- Ability to work independently and in a team environment.
Preferred Qualifications:
- Experience with NLP, Computer Vision, or Time-Series Analysis.
- Familiarity with big data frameworks like Spark or Hadoop.
- Prior internship or project experience in machine learning applications.
Benefits:
Hands-on experience in real-world machine learning projects.
Mentorship from industry experts.
Opportunity for full-time conversion based on performance.
Stipend and other perks as per company policy.
