Data Management, Machine Learning, graph-enabled agent interactions, LLM applications, knowledge graphs, data acquisition, production-quality code, AI systems, semantic retrieval, graph data science

Databricks, Azure, Sql, Python, AWS, Deep Learning, graph algorithms, Statistical AI

graph databases , Tensorflow, Nlp, Pytorch, MLops, Neo4j, Keras, Azure, Python, AWS, embeddings, LLMs, knowledge graphs, LLMOps, Scikit-learn, vector databases, DGL, prompt engineering, RAG, semantic search

Machine Learning, Statistical Modeling, Data analysis tools and techniques

Text Analytics, Machine Learning, MLops, Artificial Intelligence, Deep Learning, GenAI, Agentic AI, Classification, machine translation, Chatbots

Machine Learning, Deep Learning, Tensorflow, Numpy, Git, Pytorch, Pandas, Opencv, Image Processing, Keras, Predictive Analytics, Python, Computer Vision, Transfer Learning, Scikit-learn, Convolutional Neural Networks, Quantization, Model Optimization, Jupyter Notebook, Edge AI Deployment, anomaly detection, Time-series Analysis

Machine Learning, Hypothesis Testing, Data Modeling, Numpy, Pandas, Data Science, Python, Statistical Analysis, Scikit-learn, large datasets, Analytics, Statistics, Quantitative Research, quantitative problem-solving

Matplotlib, Sql, Databricks, Unsupervised Learning, Deep Learning, Tableau, Pyspark, Power Bi, Gcp, Git, PostgreSQL, SQL Server, Seaborn, AWS, Oracle, Kubernetes, Python, Azure, Docker, Nlp, Spark, NoSQL Databases, Ensemble Models, Jupyter Notebook, supervised learning, Recommendation Systems, Time Series Forecasting, R

Java, Machine Learning, Hadoop, SAS, Cosmos, MATLAB, Decision Trees, Logistic Regression, CloudML, R, Statistical Modeling, Bayesian analysis

Python, Sql, Aps, Machine Learning, MLops, Spark, Statistics, Serving Batch Real-time, MLflow Experiments Registry, Optimization Techniques, CI/CD, Responsible and Ethical AI Practices, Model Monitoring Drift Detection and Retraining, Distributed Data Processing, ERP SAP systems