graph databases , Tensorflow, Nlp, Pytorch, Rdf, Gcp, MLops, Neo4j, Azure, Python, AWS, knowledge graph construction, GenAI, Scikit-learn, DGL, Llm

Java, Unix, Machine Learning, Linux, data mining, Python, Statistical Techniques, algorithms and data structures, parallel and distributed computing, high-performance computing, numerical optimization

Solution architecture, System Design, PostgreSQL, Python, Data Analysis, Statistical Modeling, Synthetic data generation techniques

.NET, Java, Phoenix, Tensorflow, MLops, Pytorch, Keras, Python, LangChain, LLMOps, AgentOps, generative models, reinforcement learning, LangGraph, AI methodologies, MLFlow, Google Agent Development Kit

regression models , Sql, Deep Learning, Spark, Data Analytics, Python, boosted models, Airflow, classification models, Generative AI, LLMs, MLflow, anomaly detection, simulation problems, AI frameworks

Logistic Regression, Pyspark, Factor Analysis, Sql, Nlp, Predictive Analysis, Cluster Analysis, Python, Statistical Modelling, AWS, LLMs, cloud computing services, Sagemaker, Multivariate Regression

Tensorflow, Sklearn, Pytorch, Python, Computer Vision, Deep Learning, AWS SageMaker

relevance , , Deep Learning, Recommender Systems, Pandas, Pytorch, Gcp, XGBoost, Apache Spark, Numpy, AWS, Spark SQL, Python, Azure, Elasticsearch, Nlp, Spark ML, Airflow, scikit-learn, Algorithms for Search Retrieval, Vespa, ML Model Development Frameworks, MLlib, ranking, Kubeflow, ML Orchestration Tools, MLFlow, Vector Databases, Query Understanding, Statistical Models

PostgreSQL, Kafka, Grafana, Datadog, Sql, Rabbitmq, Gcp, Docker, MySQL, Sqs, Flask, FastAPI, Python, AWS