Machine Learning, Python, ML techniques

model selection , Version Control, Testing, Tensorflow, Pytorch, Python, data pre-processing, evaluation techniques, Documentation, mathematical concepts, agentic workflows, 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