Sql, Tensorflow, MLops, Gcp, Pytorch, Docker, Spark, Azure, Python, Kubernetes, AWS, Observability and Monitoring, Scikit-learn, API and Microservices Architecture, Vector Databases, AI Evaluation Frameworks, Feature Stores, Reinforcement Learning concepts, Model Deployment, Agentic AI Systems, Experiment Tracking

Tensorflow, Pytorch, Gcp, Azure, Python, Kubernetes, AWS, MLops, Scikit-learn

Python, Sql, Tensorflow, MLops, AWS, Pytorch, Kubernetes, Azure, Gcp, Docker, Spark, API and Microservices Architecture, AI Evaluation Frameworks, Observability and Monitoring, Feature Stores, Scikit-learn, Agentic AI Systems, Reinforcement Learning concepts, Vector Databases, Experiment Tracking, Model Deployment

Java, Tensorflow, Pytorch, Python, Machine Learning, scikit-learn, R, Cloud Platforms, AI Systems

Tensorflow, Pytorch, Gcp, Azure, Kubernetes, Python, AWS, MLOps tools, Scikit-learn

triton , Pytorch, FastAPI, Kubernetes, Python, Docker, Restful Apis, Sagemaker, ML technologies, document databases, TensorRT

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

S3, Sql, Lambda, Pytorch, Docker, Kubernetes, Python, AWS, OR-Tools, reinforcement learning, SageMaker, CVXPY, Gurobi

snowflake , Spark, Sql, Databricks, Kafka, Machine Learning, MLops, Data Science, Python, LLMs, Airflow, Probabilistic modeling, Tree-based models, Feature engineering, Generative AI, Transformers