to work with our data science and engineering teams. The intern will gain hands-on experience in building, training, and deploying machine learning models while contributing to real-world business and technology problems.
Key Responsibilities
Assist in building and training machine learning models
Perform data collection, cleaning, and preprocessing
Analyze datasets to extract insights and patterns
Implement supervised and unsupervised learning algorithms
Evaluate and optimize model performance
Work with Python-based ML libraries and tools
Support model deployment and testing
Document workflows, code, and results
Collaborate with cross-functional teams
Required Skills & Qualifications
Basic understanding of
Machine Learning concepts
Proficiency in
Python
Familiarity with
NumPy, Pandas, Scikit-learn
Understanding of statistics, probability, and linear algebra
Knowledge of data structures and algorithms
Strong analytical and problem-solving skills
Willingness to learn and adapt
Preferred (Good to Have)
Experience with
TensorFlow or PyTorch
Knowledge of
Deep Learning, NLP, or Computer Vision
Familiarity with
Jupyter Notebook
Understanding of
model deployment basics
Experience with
Git/GitHub
What You'll Gain
Hands-on experience with real-world ML projects
Mentorship from experienced ML engineers
Industry exposure and best practices
Internship Certificate & Letter of Recommendation
Potential opportunity for full-time employment
Duration
3-6 Months
Job Type: Internship
Contract length: 3-6 months
Pay: ?2,000.00 - ?7,000.00 per month
Benefits:
Flexible schedule
Internet reimbursement
Work Location: In person
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