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

Java, Software Development, Hadoop, Natural Language Processing, Google Cloud, Tensorflow, Git, Pytorch, Computer Vision, Docker, Spark, Azure, Kubernetes, Python, AWS, Machine Learning Algorithms, data preprocessing, Data Analysis, DevOps practices, Scikit-learn, R, CI CD pipelines, feature engineering

Pytorch, Python, Agreement analysis, Prompting, Instruction tuning, Semantic parsing, Confidence scoring, Output evaluation, Data annotation or labeling systems, Extraction, Classification, Label quality metrics, Evaluation design and quality measurement, Document understanding tasks, Layout analysis

model selection , statistical concepts , Java, Tensorflow, Deep Learning, Pytorch, Keras, Python, Machine Learning Algorithms, probability theory, calculus, evaluating model performance, R, sci-kit, linear algebra, hyperparameter tuning

Java, Hadoop, Kafka, Software Design, Kotlin, Sql, Nosql, Rabbitmq, Hive, Distributed Systems, Spark, data structures, Python, Airflow, ML infrastructure, Go, Flink, Databricks Workflow, production-grade platform services, observability, batch data pipelines

Tensorflow, Pytorch, Triton Inference Server, Kubeflow, TensorFlow Serving, TorchServe, MLflow, Amazon SageMaker

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

Git, Docker, Machine Learning Algorithms, Python, Sql, Feature engineering, Model evaluation

Machine Learning, Bdc, SAP BTP, MLops, Data Science, Databricks, Azure, Python, LLMOps, AI engineering, Joule, A2A, Agentic AI, cloud-based data platforms, MCP, ML frameworks