Deep Learning, Neural Networks, Image Processing, Virtual Agents, Design and implement scalable and efficient AI solutions, Chatbots, Natural language processing techniques and tools, AI frameworks and libraries such as TensorFlow or PyTorch

Azure Functions, Python, Azure DevOps, Node.js, C Sharp, Git, RAG systems, deployment automation, Azure Key Vault, App Insights, Azure OpenAI, IaC, Azure AI Foundry, LLM APIs, Azure App Service, cloud-native Azure environments, Azure Resource Groups, Logic Apps, Azure AI Document Intelligence, Azure API Management APIM, CI CD pipelines, Azure Cognitive Search, Azure AI services, Azure Storage Accounts, Responsible AI, Event Grid

object tracking , Tensorflow, Pytorch, Opencv, Python, Video Processing, object detection frameworks, model evaluation, YOLO, model training, model optimization

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

Tensorflow, Performance Tuning, Opencv, Rest Apis, Deep Learning, Ocr, Pytorch, Machine Learning Algorithms, Google Cloud, AWS, Python, Azure, Docker, Generative AI, LLMs, feature engineering, data preprocessing, Tracking, parallelization, multimodal models, RAG, YOLO, Segmentation, ML Ops, GPU optimization, TensorRT, ONNX, distributed low-latency data pipelines, RTSP streaming video pipelines, Classification, detection, multi-object detection

Machine Learning, Artificial Intelligence, Python, Sql, Pytorch, Generative AI

Tensorflow, Machine Learning, Pytorch, Google Cloud Platform, Python, Vertex AI

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

Github, Python Scripting, Apache Airflow, Devops, Terraform, AWS, Air Flow, Infrastructure as Code, ML Flow, MLflow, Ray, Kubernetes EKS, ML Ops Frameworks

Tensorflow, Data Pipeline, Docker, Apache Spark, Big Data, Data Warehousing, Python, Sql, AWS, ETL Processes