Job Responsibilities:
1. Generative AI & Machine Learning Development
- Design, train, and fine-tune Generative AI models.
- Develop machine learning and deep learning models for predictive analytics, NLP, and computer vision applications.
- Implement transfer learning and self-supervised learning techniques to improve model efficiency.
- Conduct model optimization, parameter tuning, and performance evaluation.
2. AI Research & Innovation
- Stay updated with the latest advancements in AI/ML and deep learning architectures.
- Experiment with cutting-edge AI frameworks and develop innovative AI-powered solutions.
3. Data Processing & Feature Engineering
- Perform exploratory data analysis (EDA) to extract meaningful insights from large datasets.
- Apply feature engineering and selection techniques to improve model performance.
4. Deployment & MLOps
- Deploy AI models on cloud platforms like GCP, AWS, or Azure.
- Implement MLOps pipelines for model versioning, monitoring, and retraining.
- Optimize inference latency and computational efficiency for real-time AI applications.
Skills Required:
Data Science (Python, Machine Learning, Gen AI)
SQL, Tableau/PowerBI