Description
Job Summary:
Key Responsibilities:
Data Set Creation: Collect, clean, and preprocess data from various sources to create high-quality data sets for machine learning models.
Model Development: Assist in developing and training machine learning models using supervised and unsupervised learning techniques.
Data Analysis: Perform exploratory data analysis to derive insights and understand data patterns.
Algorithm Implementation: Implement and test machine learning algorithms to solve specific business problems.
Documentation: Maintain clear and concise documentation of processes, code, and experiments.
Collaboration: Work closely with data scientists, software engineers, and other stakeholders to understand requirements and deliver solutions.
Requirements:
Educational Background: Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Technical Skills:
Proficiency in Python or R.
Experience with machine learning libraries such as TensorFlow, Keras, scikit-learn, or PyTorch.
Familiarity with data manipulation and analysis using pandas and NumPy.
Knowledge of SQL and experience with databases.
Analytical Skills: Strong problem-solving abilities and attention to detail.
Communication Skills: Ability to communicate complex ideas effectively.
Learning Attitude: Eagerness to learn new technologies and methodologies.
Preferred Qualifications:
Experience with data visualization tools like Matplotlib, Seaborn, or Tableau.
Understanding of natural language processing (NLP) and computer vision.
Prior internship or project experience in machine learning.
Benefits:
Hands-on experience with real-world machine learning projects.
Mentorship from experienced professionals.
Opportunity to work in a collaborative and innovative environment.
Job Type: Internship
Contract length: 1 month
Pay: ₹10,000.00 per month
Work Location: Remote