Application & Model Development:
Design develop and deploy Python-based applications and AI/ML models.
Data Handling:
Collect clean and preprocess structured and unstructured data for model training.
Model Training & Evaluation:
Implement machine learning and deep learning algorithms; evaluate performance using appropriate metrics.
API Integration:
Create and integrate APIs for serving ML models into applications or web services.
Research & Innovation:
Stay updated with AI/ML trends frameworks (TensorFlow PyTorch Scikit-learn) and improve model efficiency.
Automation & Scripting:
Develop automation scripts and data pipelines to support AI workflows.
Collaboration:
Work with data engineers developers and product teams for end-to-end solution delivery.
Version Control & Documentation:
Maintain clean code version control (Git) and project documentation.
Testing & Deployment:
Test models deploy to production and monitor performance using cloud or on-prem setups.
Continuous Learning:
Explore emerging AI/ML technologies and contribute to innovation projects.
Bachelors degree in Computer Science Artificial Intelligence Data Science Software Engineering Information Technology or a related field.
Develop Python-based AI/ML apps & models
Preprocess & analyze data
Train test and evaluate models
Build & integrate APIs for ML services
Use TensorFlow PyTorch Scikit-learn
Create automation scripts & data pipelines
Collaborate across teams for deployment
Maintain code versioning and documentation
Deploy & monitor ML solutions
Keep learning new AI/ML tools & methods
Required Experience:
IC
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