Java, S3, Hadoop, Spark, Python, AWS, Airflow, Starrocks, SparkML

Machine Learning, Sql, Spark, Python, Neural architectures, ML libraries, Regression, Gradient-boosted trees, ranking, Classification, Causal reasoning, Evaluation frameworks

snowflake , Github, Cursor, Deep Learning, Tensorflow, MLops, Pytorch, Spark, Gitlab, Azure, Python, AWS, LangChain, CrewAI, LLMOps, Claude, AI Cloud architectures, Autogen, Agentic AI, Code Codex, Agentic Coding Frameworks

, Pytorch, App Engine, Deep Learning, Kubernetes, Tensorflow, Docker, Generative AI, Model Versioning, Automated Retraining, Experiment Tracking

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

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

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

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

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