GeomatikAI is hiring AI/Deep Learning Interns for its cutting-edge geospatial intelligence and geological prediction platform. This internship offers an exciting opportunity to work on real-world artificial intelligence problems involving computer vision, natural language processing, geospatial data, remote sensing, and deep learning.
Candidates will collaborate with AI engineers, geologists, and domain experts to build intelligent systems capable of extracting insights from drone imagery, geological reports, 3D point cloud data, and other complex datasets.
For students and fresh graduates interested in AI research, computer vision, NLP, and geospatial intelligence, this internship provides valuable industry exposure and the possibility of a full-time job offer after successful completion.
About the Company
GeomatikAI develops AI-powered geospatial intelligence and geological decision-support solutions. The company combines machine learning, remote sensing, GIS technologies, and geoscience expertise to transform raw spatial data into actionable insights.
Its solutions help organizations improve infrastructure planning, geological analysis, environmental monitoring, and risk assessment through advanced AI-driven decision-making systems.
Role Overview
As an AI/Deep Learning Intern, you will contribute to the development of machine learning models and data pipelines that power geological prediction and geospatial intelligence systems. You will work with multi-modal datasets including images, text, spatial data, and 3D point clouds while implementing state-of-the-art deep learning techniques.
Responsibilities
- Develop and train computer vision models using drone imagery, tunnel logs, and 3D point cloud datasets
- Build NLP pipelines for classification, entity extraction, and text analysis
- Create and maintain data processing and machine learning pipelines
- Perform data cleaning, feature engineering, and experiment tracking
- Implement modern deep learning architectures from research literature
- Develop multi-modal AI prototypes for geological prediction systems
- Collaborate with domain experts for data annotation and validation
- Perform model evaluation and performance optimization
- Work on data augmentation and model improvement strategies
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Who Can Apply?
| Criteria | Details |
|---|---|
| Education | BTech, MTech, PhD, BSc, or equivalent |
| Specializations | Computer Science, AI, Data Science, Engineering, or related quantitative fields |
| Internship Type | Full-Time Hybrid |
| Duration | 2 Months |
| Start Date | Immediately |
| Location | Faridabad, Delhi, Ghaziabad, Gurgaon, Noida |
Required Skills
- Python
- Deep Learning
- Computer Vision
- Natural Language Processing (NLP)
- PyTorch
- TensorFlow
- NumPy
- GIS
- Neural Networks
- Machine Learning Fundamentals
Company Rating & Reviews
Overall Rating: ⭐⭐⭐⭐☆ (4.5/5)
What Employees Like:
- Exposure to advanced AI and deep learning projects
- Opportunity to work on real-world research problems
- Learning-focused and innovation-driven culture
- Direct collaboration with domain experts
Things to Consider:
- Fast-paced research and development environment
- Strong technical foundations are expected
- High emphasis on experimentation and problem-solving
Who Should Apply?
Students and graduates passionate about Artificial Intelligence, Computer Vision, Natural Language Processing, Deep Learning Research, Geospatial Technologies, and Data Science will find this opportunity highly rewarding.
Note: The rating is based on publicly available employee and candidate reviews from various sources and may change over time.
Stipend/Salary
| Details | Amount |
|---|---|
| Internship Duration | 2 Months |
| Work Mode | Hybrid |
| Location | Faridabad, Delhi, Ghaziabad, Gurgaon, Noida |
| Stipend Range | ₹25,000 – ₹45,000 per month |
| Fixed Pay | ₹20,000 – ₹25,000 per month |
| Incentive Pay | ₹5,000 – ₹20,000 per month |
| Full-Time Offer (PPO) | ₹8 LPA – ₹12 LPA |
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Preferred Qualifications
- Strong understanding of optimization techniques and evaluation metrics
- Hands-on experience with CNNs, segmentation models, transformers, or embeddings
- Experience with PyTorch or TensorFlow projects
- Knowledge of geospatial data processing
- Familiarity with GIS tools and remote sensing concepts
- Exposure to 3D point cloud processing libraries
- Experience working on AI research or advanced machine learning projects
What You’ll Get
- Industry-level AI and Deep Learning experience
- Internship Certificate
- Letter of Recommendation
- Flexible Work Hours
- Informal Dress Code
- Hybrid Work Opportunity
- Exposure to cutting-edge geospatial AI systems
- Mentorship from AI engineers and domain experts
- Potential Pre-Placement Offer (PPO) up to ₹12 LPA
How to Apply
Interested candidates should apply before 23 July 2026.
Before applying:
- Highlight AI, Machine Learning, Computer Vision, or NLP projects on your resume
- Include GitHub repositories demonstrating PyTorch or TensorFlow work
- Showcase experience with neural networks, transformers, or computer vision models
- Mention research papers, hackathons, Kaggle competitions, or AI certifications
- Include any GIS, remote sensing, or geospatial data experience if available
- Demonstrate strong mathematical and problem-solving skills
Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.
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