MLops, Ds, tunning, developer, Rca

regression models , snowflake , Unix, Github, Pyspark, Nlp, Pytorch, Python, AWS, Sql, Deep Learning, Git, Pandas, Linux, Spark, Decision Trees, Databricks, Azure, VS Code, Matrix Factorization, Content-Based Filtering, Time-Series Forecasting, Neural Collaborative Filtering, LLMs, Segmentation techniques, Scikit-learn, Unsupervised Clustering, collaborative filtering

Spark, Sql, Tensorflow, Hadoop, MLops, Pandas, Pytorch, Python, XGBoost, LlamaIndex, Scikit-learn, Bayesian reasoning, AWS SageMaker, LangChain, GCP Vertex AI

Apis, Python, AWS, LangChain, Data privacy and governance, LLMs, Serverless architectures, Vector databases, Machine learning models, Amazon SageMaker, Logging and observability, CI CD pipelines, AI pipelines, Generative AI models, Amazon Bedrock, Model performance tracking

Machine Learning, Pyspark, Kafka, Sql, Gcp, Spark, Azure, Devops Tools, Python, Computer Vision, Deep Vision algorithms, infrastructure automation, MLOps practices, model monitoring

Tensorflow, MLops, Pytorch, Python, Deep Learning, Advanced Statistics, probability theory, Production-Grade Code, Matrix Factorization Techniques

Tensorflow, Containers, Python Programming, Rest Apis, Pytorch, Flask, cloud platforms, Generative AI LLMs, ML deep learning, agent frameworks, Hugging Face, RAG concepts, Fast API