Artificial Intelligence Trainee
6 hours ago
**About the Role**:
**Key Responsibilities**:
- Assist in building, training, and optimizing machine learning and deep learning models.
- Support **image data collection**of secondhand smartphones for damage detection (scratches, dents, cracks, discoloration, etc.).
- Capture and organize images of devices under controlled lighting and multiple angles to build high-quality datasets.
- **Annotate images** using tools like LabelImg, CVAT, or Roboflow for object detection and
segmentation tasks.
- Categorize damage by **type and severity** (minor, moderate, severe) and maintain dataset
accuracy.
- Assist the consultant in developing and validating the MVP damage detection model using CNNs and YOLO.
- Help with **data preprocessing**, augmentation, and model evaluation.
- Automate repetitive data tasks and annotation management through Python scripting.
- Maintain clear documentation for datasets, experiments, and results.
- Collaborate with cross-functional teams (development, QA, and design) for AI feature
deployment.
**Required Skills**:
- Strong understanding of Python, Machine Learning, and Data Analysis concepts.
- Familiarity with **Computer Vision, Image Processing, and Object Detection models** (YOLO,
SSD, Faster R-CNN, etc.).
- Knowledge of frameworks such as **TensorFlow, PyTorch, Keras, or Scikit-learn.**
- Experience (academic or hobby) with **annotation tools**such as LabelImg, CVAT, or LabelMe is a plus.
- Good understanding of **OpenCV** for image manipulation and preprocessing.
- Knowledge of **data cleaning, augmentation, and normalization techniques** for image datasets.
- Basic understanding of **SQL, Pandas, and visualization tools (Power BI, Matplotlib, Seaborn).**
- Mathematical grounding in **probability, linear algebra, regression, and statistics.**
- Strong attention to detail, especially for **manual labeling, visual inspection, and consistency checking.**
- Ability to work patiently and methodically on **tedious but critical dataset preparation tasks.**
**Eligibility**:
- B.E./B.Tech/MCA (Artificial Intelligence / Data Science / Computer Science / Electronics / IT)
- Batch: 2025 / 2026.
will be preferred.
desirable.
- Strong passion for learning and self-improvement in the AI/ML domain.
- Willingness to **work on-site full-time in Nashik**and participate in **hands-on data collection**
**activities.**
**Job Types**: Full-time, Fresher
Pay: ₹10,000.00 - ₹15,000.00 per month
**Benefits**:
- Provident Fund
Application Question(s):
- Are you open to work from office for Nashik, Maharashtra location?
- Are you willing to attend in-person interview?
Work Location: In person
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