data engineering , Machine Learning, Deep Learning, Tensorflow, Pytorch, MLops, Docker, Kubernetes, Python, LangChain, Generative AI, Agent Frameworks, Hugging Face Transformers, Vector Databases, Embeddings, RAG, LlamaIndex, Prompt Engineering

Pytorch, Python, transformers for NLP tasks, SageMaker Studio, model evaluation, deep learning frameworks, Experimental Design

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

Machine Learning, Python, Sql, Modelling, Ml model, Interpersonal Skills

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

MLops, Databricks, Python, Pandas, XGBoost, Spark, LIME, LightGBM, MLflow, scikit-learn, SHAP

Databricks, Java, Microservices, Golang, Machine Learning, AWS, Python, Scala, Spark, Statistics, GenAI, MLFlow, LangChain, distributed data processing frameworks, LangGraph

Pytorch, Tensorflow, Python, XGBoost, Machine Learning, Data Pipelines, Data Processing, Experimentation Methodologies, scikit-learn