Machine Learning Intern
SportsBUZZ
Job Overview
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Job Description
About SPORTSBUZZ
SPORTSBUZZ offers students and graduates hands-on learning opportunities in Machine Learning and Data Science. The internship focuses on practical exposure to real-world projects, enabling interns to build strong technical foundations and gain industry-relevant experience in AI and analytics.
Role Overview
As a Machine Learning Intern at SPORTSBUZZ, you will work on live projects involving data analysis, model development, and algorithm design. This role is designed to strengthen your understanding of machine learning concepts while helping you build a professional, portfolio-ready skill set.
Key Responsibilities
- Design, test, and optimize machine learning models
- Clean, preprocess, and analyze datasets for modeling
- Develop algorithms and predictive models for real-world applications
- Work with tools such as TensorFlow, PyTorch, and Scikit-learn
- Document findings and prepare reports to communicate insights clearly
- Collaborate with mentors and team members to improve model performance
Eligibility & Requirements
- Currently enrolled in or recently graduated from AI, Machine Learning, Data Science, Computer Science, or related fields
- Strong understanding of machine learning concepts and algorithms
- Proficiency in Python or R (preferred)
- Strong analytical, problem-solving, and teamwork skills
Perks & Benefits
- Performance-based stipend up to ₹7,499
- Swags and goodies
- Certificate of Internship upon successful completion
- Letter of Recommendation based on performance
- Opportunity for a full-time role based on performance
Equal Opportunity Statement
SPORTSBUZZ is committed to fostering a diverse and inclusive workplace and encourages applicants from all backgrounds to apply.
Key skills/competency
- Machine Learning
- Data Analysis
- Model Development
- Algorithm Design
- Python
- R
- TensorFlow
- PyTorch
- Scikit-learn
- Predictive Modeling
How to Get Hired at SportsBUZZ
- Research SPORTSBUZZ's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Customize your resume: Tailor your resume to highlight machine learning concepts, data science projects, and proficiency in Python or R, aligning with SPORTSBUZZ's needs.
- Showcase relevant projects: Prepare a portfolio or GitHub showcasing practical applications of machine learning, model development, and data analysis to demonstrate your capabilities to SPORTSBUZZ.
- Prepare for technical questions: Practice machine learning algorithms, data preprocessing techniques, and familiarity with tools like TensorFlow, PyTorch, and Scikit-learn for the SPORTSBUZZ interview.
- Emphasize problem-solving and teamwork: Be ready to discuss your analytical skills, how you approach complex problems, and your experience collaborating effectively with team members on technical projects.
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