Machine Learning, Pyspark, Kafka, Sql, Gcp, Spark, Azure, Devops Tools, Python, Computer Vision, Deep Vision algorithms, infrastructure automation, MLOps practices, model monitoring

Java, Python, Google Cirq, IBM Quantum, Microsoft Quantum Development Kit

MLops, Pyspark, XGBoost, Python, Sql, Random Forest, Deep Learning, LightGBM

MongoDB or equivalent NoSQL, Embedding models and semantic similarity, RAG pipeline design and vector search, LLM API experience, Agentic pipeline design, Async Python, Git code reviews CI CD basics, Classification systems with large label spaces, Evaluation framework design for LLM systems, Document AI PDF parsing, Production-grade Python

Machine Learning, Tensorflow, Agile Development, Git, Pandas, Linux, Image Processing, Keras, Python, DCS Systems, API Services, Scikit-learn, Statistics, Dynamic Optimization

snowflake , BigQuery, Sql, Azure ML, Pandas, XGBoost, Databricks, Python, Polars, scikit-learn, LightGBM, AWS SageMaker, Vertex AI, CatBoost

Tensorflow, Pytorch, Power Bi, XGBoost, Tableau, Azure, Python, Sql, AWS, Machine Learning frameworks, Scikit-learn

Ml, Sql, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Docker, FastAPI, Azure, Python, Etl, Computer Vision, AWS, LLMs, MLflow, CI CD, data lakes, R

Python, Sql, Clustering models, Deduplication models, Forecasting Models, Statistical models, Churn prediction models, ML models, Predictive models, Planning and allocation algorithms