Java, Apis, System Design, Python, Agentic systems, Data pipelines

Nltk, Natural Language Processing, Apache Spark, Tensorflow, Pandas, Pytorch, Gcp, Databricks, Azure, AWS, Langchain, scikit-learn, HuggingFace, vector databases, mlflow, gensim, OpenAI

Pyspark, Debugging, Databricks, Python, Sql, Azure DevOps, Data Analysis, data pipelines, machine learning workflows, distributed data processing

MLOps practices and tools, Python or R

Jax, Data structures, Tensorflow, Algorithms, Pytorch, System Design, Python, Scaling laws and evaluation methodologies, Distributed systems and ML infrastructure design, Transformers and attention mechanisms, Large-scale ML data pipelines, Tokenization and sampling strategies

Tensorflow, XGBoost, Numpy, Nlp, Pandas, Pytorch, Gcp, Python, LangChain, Vision AI, Scikit-learn, Gen AI, Document extraction, Conversational AI

Azure ML, Azure Data Factory, Databricks, Python, CrewAI, agentic AI frameworks, orchestration tools, AI governance frameworks, Clean Architecture, model generalization techniques, static analysis tools, Semantic Kernel, AutoGen, LangGraph, ML engineering, ETL workflows

Pyspark, Tensorflow, Numpy, Git, Pandas, Pytorch, XGBoost, Keras, Python, scikit-learn, LightGBM, TensorFlow Serving, TensorRT, MLflow, ONNX, Azure ML Pipelines, Kubeflow, TorchServe, CatBoost