snowflake , Sql, Databricks, Emr, Java, Dataproc, Apache Spark, MLops, AWS, Python, Perl, Gcp, Redshift, HuggingFace, Optuna, Airflow, Kubeflow, MLflow, DAGster

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

Aws Lambda, Tensorflow, Jenkins, Pandas, Pytorch, Docker, Terraform, AWS CloudFormation, Python, AWS, Aws S3, scikit-learn, Amazon SageMaker

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

Azure Machine Learning, Pytorch, Tensorflow, Python, Grafana, Docker, Jenkins, MLFlow, Gitlab CI, DVC, LakeFs

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

Tensorflow, AWS, Pytorch, Python, Scipy, Neo4j, Nlp, Azure AI Foundry, LlamaIndex, scikit-learn, OpenVINO, Hugging Face, Weaviate, LangChain, anomaly detection, Pinecone

Statistical Modelling, Numpy, Pandas, Python, Generative AI, LLMs, Scikit-learn, Statistics, Optimization, Classical Machine Learning, LLM APIs, Prompt Engineering

Java, Machine Learning, Kafka, Tensorflow, Hive, Pytorch, Spark, Kubernetes, Python, Airflow, Ray, Kubeflow

data engineering , Kafka, Python, AWS, Apis, Sql, MLops, Azure, RAG embeddings, anomaly detection, CI CD, LangGraph, Evaluation, event streaming architectures, structured outputs, observability, model monitoring, tool function calling, LLMs, LLMOps, SHAP feature attribution, retrieval evaluation, vector hybrid search, Classification, Semantic Kernel, prompt engineering, agentic workflows, Regression, Applied AI ML, gradient-boosting techniques, LlamaIndex