Machine Learning, Python, ML techniques

model selection , Version Control, Testing, Tensorflow, Pytorch, Python, data pre-processing, evaluation techniques, Documentation, mathematical concepts, agentic workflows, LLM orchestration frameworks, AI agents, feature engineering

Version Control, Tensorflow, Git, Pytorch, Gcp, Azure, Python, AWS, Machine Learning Algorithms, Data Processing, model training, Scikit-learn, cloud platforms, MLOps practices, Statistics, Deployment

Tensorflow, Pytorch, Python, Deep Learning Frameworks, AI Agents, LLaMA Factory

snowflake , Sql, Google Cloud, Tensorflow, Git, Pytorch, Gcp, Docker, Azure, Python, AWS, scikit-learn

Tensorflow, Git, MLops, Pytorch, Azure, Python, Sql, Google Cloud, AWS, hyperparameter tuning, model optimization

Machine Learning Algorithms, LLM-based systems, ranking retrieval, feature engineering, production-grade ML models, end-to-end deployment of ML solutions

Tensorflow, Numpy, Pandas, Pytorch, Python, low-level vision algorithms, scikit-learn, data curation pipeline, deep learning algorithms, multimodal models