ai/ml intern
5 days ago
Job Title: AI / Machine Learning Intern
Location: Indira Nagar , Nashik
Internship Type: Full-time
Duration: 3–6 Months]
Stipend: ₹5,000 (per month)
About the Role
We are seeking a passionate AI/ML Intern to join our team and contribute to developing innovative solutions using Artificial Intelligence and Machine Learning. You will work closely with our data science and engineering teams to build, train, and deploy AI models that solve real-world problems.
Key Responsibilities
- Assist in designing, developing, and testing machine learning models.
- Collect, clean, and preprocess datasets for training and validation.
- Research and implement algorithms to improve model performance.
- Work on Natural Language Processing (NLP), Computer Vision, or Predictive Analytics projects (as per company needs).
- Collaborate with team members on model integration into applications.
- Document processes, experiments, and results.
Required Skills & Qualifications
- Currently pursuing or recently completed a Bachelor's / Master's degree in Computer Science, Data Science, AI, or related field.
- Strong understanding of Python and libraries like NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.
- Familiarity with data preprocessing, feature engineering, and model evaluation.
- Knowledge of basic AI concepts: supervised/unsupervised learning, neural networks, etc.
- Strong problem-solving skills and eagerness to learn.
Preferred Skills (Good to Have)
- Experience with NLP or Computer Vision.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Understanding of data visualization tools (Matplotlib, Seaborn, Plotly).
- Exposure to version control systems (Git/GitHub).
Benefits
- Hands-on experience with real AI/ML projects.
- Mentorship from experienced data scientists and engineers.
- Opportunity to transition into a full-time role based on performance.
- Internship completion certificate.
Job Types: Full-time, Fresher, Internship
Contract length: 3-6 months
Pay: Up to ₹5,000.00 per month
Work Location: In person
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