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

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

prophet , Kafka, Tensorflow, Numpy, Pandas, Pytorch, Kinesis, Arima, XGBoost, Spark, Python, Transformer-based, LSTM, SARIMA, Scikit-learn, GRU

bedrock , Java, Test Automation, Apis, Node.js, Microservices, Angular, Nlp, React, Python, LangChain, AWS Cloud services, AI ML development, test automation frameworks, LLM platforms, generative AI, vector databases, quality engineering, CI CD pipelines, full-stack development, cloud-native architectures, RAG architectures

Matplotlib, Tensorflow, Numpy, Jenkins, Gcp, MLops, Pandas, Keras, Azure, Python, AWS, XG Boost, TFX, Hugging Face, Scikit-learn, MLflow, Lang Chain, SageMaker, GitLab CI, GitHub Actions, OpenAI APIs, Kubeflow, Py Torch

DAST, Golang, Elk, Prometheus, Grafana, Typescript, Terraform, Docker, Sonarqube, Python, AWS, Cloudformation, Jenkins, Gcp, Azure, Kubernetes, OpenSearch, GitHub Actions, OpenTelemetry, SAST, Black Duck, Trivy, Checkov, Snyk, GitLab CI, SCA, Container Security, Secrets Management

Exploratory Data Analysis, Sql, Nosql, Tensorflow, Azure ML, Pytorch, XGBoost, Python, Etl, data preprocessing, ML model evaluation, Scikit-learn, MLflow, data annotation tools, Vertex AI, Kubeflow, feature engineering

data preparation , DataEngineer, Feature Engineering, Model Deployment, Senior Data Engineer with AI/ML, S3 Glue EMR Redshift Lambda, ? AWS SageMaker experience, ? Kafka or Kinesis for real-time streaming, ? MLOps and CI/CD for ML pipelines, ? Power BI integration with cloud-based data platforms and large-scale datasets