Java, Tensorflow, Pytorch, Python, Statistics, Machine learning pipelines and systems, scikit-learn, Scalable computing resources, Optimization, R, probability theory, Experimental methodologies, Cloud platforms, Machine learning algorithms and models, ML model development and deployment

Video Codecs, Cuda, Pytorch, Python, Computer Vision, Git, video processing pipelines, model evaluation frameworks, inference optimization, MLOps tools, MLflow, streaming technologies, deep learning frameworks, attention mechanisms, PEFT, continuous experimentation infrastructure, CNNs, GPU-based training, LoRA, Weights Biases, Transformers

snowflake , Spark, Machine Learning, Distributed Systems, Apis, Kafka, Sql, Data Science, MLops, Databricks, Python, Airflow, ETA Prediction, Generative AI, LLMs, Ai, Fraud Modeling, Vector Databases, anomaly detection, Embeddings, ML Systems