model development , Sql, Natural Language Processing, Deep Learning, MLops, Python, Data Analysis, Vector Databases, Statistical ML, GenAI Chatbots, Agentic AI Frameworks

data engineering , probabilistic models , Sql, Deep Learning, Tensorflow, Pytorch, XGBoost, Python, LSTMs, scikit-learn, tree ensembles, LightGBM, time-series forecasting, CNNs, Transformers, CatBoost

.Net Core, Lucene, microservice architecture, Docker, Design Patterns, Elastic Search, Sql Database, Azure, Kubernetes, Test-driven development, GRPC, object-oriented methodologies

Machine Learning, Cloud Architecture, Sql, Deep Learning, MLops, Databricks, Python, LLMs, RAG systems, Graph Modelling, MLFlow, AI features for model inference, Evaluation frameworks, Identity Access Graph

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

BigQuery, Google Cloud Platform, Kafka, Sql, Tensorflow, Pytorch, Spark, Keras, Python, retraining, CI CD, GitHub Actions, Automated training pipelines, experimentation, model monitoring

Machine Learning, MLops, Pyspark, Spark, Python, Sql

Pytorch, Python, Confidence scoring, Human-in-the-loop annotation systems, Model serving systems, Document understanding tasks, Data annotation or labeling systems, Label quality metrics