Apis, Sql, MLops, Gcp, Docker, Azure, Python, AWS, LangChain, Generative AI, NL-to-SQL, Model deployment, LangGraph, Retraining, CI/CD, MCP function calling, Drift monitoring, RAG pipelines, Monitoring

Tensorflow, Pytorch, Gcp, Hadoop, Docker, Spark, Keras, Azure, Kubernetes, AWS

Sql, Tensorflow, Numpy, Pyspark, Kafka, Machine Learning, Pandas, BigQuery, Pytorch, Hive, Python, Nlp, Spark, Scikit-learn, Graph-based Analysis, Network Graph-based Methods, Hugging Face Transformers, Statistical Tests, LLM-based Techniques, anomaly detection

Databricks, C, Java, AWS, Python, Perl, Shell Commands, Gcp, Flask, Microsoft Azure, Spark, MLFlow, Seldon, DataRobot

Tensorflow, Opencv, MLops, Pytorch, Python, Azure ML, cloud vendor based ML Platforms, deep learning techniques, Sagemaker, large language models, kubeflow, model optimization, NLP technologies, GPT, BERT, mlflow, LLMOps, model fine-tuning

Databases, Apis, Logging, Cloud deployment, Automated Testing, Git, Enterprise Security, Containers, Python, retrieval tool calling workflow orchestration, identity secrets management, CI CD, alerting, Incident Investigation, event-driven integrations, access controls, human-in-the-loop processes, performance optimization, Production Monitoring

containerization , Docker, Asynchronous programming, Python, Kubernetes, LLM agents, cloud platforms, vector databases, gRPC APIs, LLM evaluation frameworks, traditional ML DL models, model serving

Algorithms, Debugging, Data structures, Python, ML infrastructure, Model deployment, reinforcement learning, Data Processing, Optimization, Model evaluation