triton , Tensorflow, Pytorch, Kubernetes, Python, AI ML model evaluation, model graph conversion, TensorRT, model architectures, ONNX Runtime, visualization tools, cloud inference services, large language models, accuracy metrics, accuracy pipeline development, data-centre accelerators, quantization, statistical methods

MLops, Gcp, Python, Computer Vision, Deep Learning, Vector Search

Machine Learning, Python, Deep Learning, Transformers, BERT, AWS ML LLM tools

Docker, Pyspark, Python Programming, Kubernetes, Deploying ML models into production, ML algorithms and statistics, AWS or GCP cloud

snowflake , prophet , Apis, Azure Sql, Tensorflow, Git, Pytorch, Arima, Version Control Systems, Python, LSTM, Temporal Fusion Transformer, Scikit-learn, reinforcement learning, DeepAR, Databricks Delta

Sql, Incident Response, Python, LLM applications, guardrails, SLO SLA management, evaluation harnesses, vector databases, RAG agents, CI CD, data quality frameworks, Azure deployments, Cost Optimization, tool function calling

Git, Pyspark, Azure Databricks, Sql, Python, AI ML concepts, ETL processes, Spark optimization techniques, Delta Lake

Sql, Python, Incident Response, evaluation harnesses, CI CD, data quality frameworks, Azure deployments, Monitoring, LLM applications, tool function calling, RAG agents

Sql, Data Modeling, Microservices, Python, Pytest, Rest Apis, Data processing libraries, Git-based development

Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving