Java, Graphql, Scala, Kafka, TigerGraph, MLops, Neo4j, Docker, Spark, Kubernetes, Python, AWS, Airflow, pgvector, Qdrant, Go, MLflow, Flink, Neptune, Kubeflow, Milvus

Machine Learning, MLops, Python, a/b testing, Real-time Model Deployment, TensorFlow/PyTorch

Apis, Tensorflow, Azure ML, Pytorch, Docker, System Design, Microsoft Azure, Kubernetes, Python, LangChain, ASR, Speech AI, Generative AI, MLflow, ML lifecycle management, Azure OpenAI, Machine learning fundamentals, TTS, CI CD pipelines, Data pipelines, Scalability and reliability

Deep Learning, Nlp, Pytorch, Python, AWS, Gcp, Spark, Azure, Kubernetes, embeddings, inference, Video, end-to-end ML systems, Llm, VLM, training pipelines, fine-tuning, generative AI, cloud platforms, Vision, RAG, Production Monitoring, feature engineering, distributed data processing

Tensorflow, Pytorch, Gcp, MLops, Docker, Azure, Data Analytics, Python, Kubernetes, AWS, MLflow, Scikit-Learn, Kubeflow, Statistical Modeling

Tensorflow, Git, Pytorch, MLops, Docker, Flask, FastAPI, Python, Kubernetes, AWS, Airflow, vector databases, embedding models, Sagemaker, Streamlit

Machine Learning, Data Modeling, Tensorflow, Data Science, Pytorch, Gcp, MLops, Azure, Python, AWS, Feature Engineering, Geospatial Data Processing

Python, Machine Learning, Artificial Intelligence, REST, cloud, Tensorflow, gRPC services, MLOps tools, data pipelines

Tensorflow, Machine Learning, Pytorch, Opencv, Ocr, Python, Computer Vision, Deep Learning, GenAI, LLMs, PIL

Pyspark, Clustering, Pandas, Azure Synapse Analytics, XGBoost, Spark, Rest Apis, Azure Machine Learning, Python, Validation, Feature Engineering, LightGBM, Scikit-learn, Model Evaluation, Regression, Feature Selection, Time Series Forecasting, Classification, Model Performance Monitoring