Ai/ml Intern

15 hours ago

Baner Pune Maharashtra, India Bandhan Agritech Pvt. ltd Full time

**Job Title: AIML Intern**
**Location**: Pune, Maharashtra (On-site)
**Experience Required**: Fresher (0-1 Year)
**Education**: B.E./B.Tech in Artificial Intelligence and Data Science
**Duration**:3 Months
**Stipend**: 15,000-20,000
**Location**: Baner, Pune

**Internship Overview**:
**Key Responsibilities**:

- Collect, clean, and preprocess agricultural and environmental datasets.
- Develop and fine-tune AI/ML models for crop monitoring, soil health, disease detection, and yield prediction.
- Work closely with agronomists and technical teams to develop, test, and deploy robust AIML models for scalable agri-tech solutions in production environments.
- Evaluate models using appropriate performance metrics and validation techniques.
- Document project workflows, methodologies, and results for both technical and non-technical stakeholders.
- Stay updated with the latest AI advancements and agri-tech trends.
- Contribute to model deployment and post-deployment monitoring.

**Required Skills & Qualifications**:

- Bachelor's degree or pursuing final year in Data Science, Artificial Intelligence, Computer Science, or related disciplines.
- Strong knowledge of Python and libraries such as **scikit-learn, TensorFlow, PyTorch**.
- Experience with data manipulation and visualization using **Pandas, NumPy, Matplotlib, or Seaborn**.
- Basic understanding of agriculture-related data (crop types, soil, weather) is an added advantage.
- Familiarity with geospatial or satellite data, GIS tools, or remote sensing techniques is preferred.
- Problem-solving mindset, good communication skills, and ability to work in teams.
- Internship, academic project, or Kaggle experience in AIML or agri-tech will be a bonus.

**Internship Benefits**:

- Hands-on exposure to **real-time agricultural challenges** and innovative tech solutions.
- Mentorship from experts in AI, ML, and agriculture.
- Certificate of completion, performance-based recommendation letter, and networking opportunities.

Opportunity for full-time employment based on performance.

Pay: ₹15,000.00 - ₹20,000.00 per month

Schedule:

- Day shift

Work Location: In person

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