Job Category: Data Science & AI/ML
Salary: Not Disclosed
Job Experience: Freshers Internship
Job Type: Internship
Job Location: All location Remote
Company: InternshipTech
Location: Remote
Duration: 3-6 months
Stipend: Unpaid
About the Role
Are you passionate about machine learning and eager to work on real-world AI projects? We are looking for a Machine Learning Intern to join our team and gain hands-on experience in data preprocessing, model training, and AI-driven applications. This is an excellent opportunity for students and recent graduates to enhance their skills in machine learning while collaborating with industry professionals.
Key Responsibilities
- Collect, clean, and preprocess structured and unstructured data
- Develop and implement machine learning models using Python libraries like Scikit-learn, TensorFlow, or PyTorch
- Perform feature engineering and model optimization for better accuracy
- Work on supervised and unsupervised learning algorithms
- Implement deep learning techniques for tasks like image recognition, NLP, or time series forecasting
- Optimize models for performance, scalability, and efficiency
- Collaborate with the team to deploy models using Flask, FastAPI, or cloud services
Requirements
- Currently pursuing or recently completed a degree in Machine Learning, Data Science, Computer Science, or a related field
- Strong programming skills in Python and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch, Keras, etc.)
- Basic understanding of statistics, linear algebra, and probability
- Experience with data visualization tools (Matplotlib, Seaborn, Plotly, etc.)
- Knowledge of SQL for data querying and manipulation
- Strong problem-solving and analytical skills
- Ability to work independently and as part of a team
Preferred Skills (Not Required but a Plus)
- Experience with NLP, computer vision, or deep learning techniques
- Familiarity with cloud platforms (AWS, Google Cloud, or Azure) for ML model deployment
- Hands-on experience with big data frameworks (Apache Spark, Hadoop, Databricks, etc.)
- Understanding of MLOps practices for model deployment and monitoring
- Previous internship or project experience in machine learning
What You Will Gain
- Hands-on experience with machine learning, deep learning, and AI-driven solutions
- Exposure to real-world data science and ML challenges
- Internship certificate upon successful completion
- Mentorship and guidance from experienced machine learning professionals
- Potential opportunity for a full-time role based on performance
How to Apply
Send your updated resume and a brief cover letter to resume@internshiptech.com with the subject “Machine Learning Intern Application – [Your Name]”.
Kickstart your career in machine learning and gain valuable industry experience.