- Solve business use cases using computer vision, OpenCV, machine learning, AI, and analytics.
- Develop machine learning applications according to business requirements.
- Train, retrain, and fine-tune models as necessary.
- Select appropriate datasets and data representation methods for ML applications.
Programming & Technical Implementation:
- Write effective code in Python, using libraries such as Pandas, NumPy, and TensorFlow.
- Understand and program complex logical workflows.
- Perform statistical analysis and fine-tuning using test results.
Collaboration & Problem-Solving:
- Work closely with cross-functional teams to implement AI-driven solutions.
- Apply knowledge of linear algebra, probability, statistics, and image processing to solve technical challenges.
- Maintain a proactive approach to learning and exploring emerging technologies.