Power Bi, Tableau, Sql, Azure ML, Git, Databricks, Deployment Tracking, MLflow, MLOps processes and tools, Lineage, Production support practices, versioning, Model Registry, Reproducibility, Telecommunications environment, Cloud ML platforms, Monitoring

data engineering , Machine Learning, Tensorflow, Pytorch, Docker, XGBoost, Python, AWS, Sql, Git, MLops, Azure, Feature Engineering, ML Pipelines, Model Evaluation, CI CD, Scikit-Learn, LangGraph, Model Deployment, ML Modelling, LangChain, CrewAI, LightGBM, AutoGen, Agentic AI

Deep Learning, Git, Computer Vision, Python, real-time video streams, model optimization techniques, data preparation or processing pipelines, large-scale image and video datasets

Docker, Pyspark, Pytest, Azure Databricks, Azure Cloud Services, Python, Sql, MLflow

Spark, Java, Hadoop, Cloudformation, Yarn, Tensorflow, Hive, MLops, Docker, Sns, Python, Kubernetes, AWS, Airflow, Pipelines, H2O, EventBridge, CodeBuild, SageMaker, CodePipeline, CodeCommit, CloudTrail

Apis, AWS, integrating ML models into production systems, data preprocessing, model evaluation techniques, automated testing of model performance and stability, feature engineering, MLOps tools and frameworks

Pytorch, Agile, Kubernetes, Scrum

Machine Learning, MATLAB, Sql, Python, Supply Chain, Digital content, Digital advertising

C Language, R Programming, Python, Unix, Linux, Artificial Intelligence and Machine Learning, Llm

Azure, Gcp, Pytorch, Python, Aws, Llm