data engineering , Machine Learning, Natural Language Processing, Algorithm Design, Deep Learning, MLops, Generative AI, LLMs, Python Programming Language, RAG fine-tuning, Cloud Platforms, AI Ethics, Statistical Modeling, AI agents, NLP embeddings

statistical data analysis , Data Manipulation, Machine Learning, Sql, Python Programming, Clustering, Software Development Methodologies, Project Delivery, UNIX command line, Agile development practices, anomaly detection, Classification, data analysis libraries, ML Ops, feature engineering

Machine Learning, SAS, Matlab, Generative AI, Data Analysis, R, data analysis tools and techniques, Statistical Modeling

Statistical Analysis, Data Analytics, Sql, Gcp, Docker, Python, Kubernetes, AWS, Statistical Modelling, ISP technologies, Systems development, Advanced modelling, Django APIs, IP networks

RAG (Retrieval-Augmented Generation) architecture, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), Data Structures And Algorithms, Python Programming, LLMs, Autoregressive models, SLMs, Model finetuning, AI accelerator chips, Transformer-based networks, Generative AI architectures, MLOps practices, Modern AI frameworks

Machine Learning, Deep Learning, MLops, Data Profiling, LangChain, Generative AI, Feature Engineering, LLMs, AI Agent Frameworks, GenAI Applications, LangGraph, RAG, OpenAI Gemini, Prompt Engineering

Machine Learning, Apis, Python, GenAI, AI ML Models, RAG Models, Model Deployment, Ai, Lang Chain, Llm

Pyspark, Tensorflow, Numpy, Nlp, Pytorch, Docker, XGBoost, Python, AWS, Scipy, Clustering, Sql, Git, Hive, Pandas, Gcp, Keras, Azure, Computer Vision, Random Forests, MLflow, Gradient Boosting, GLMs, R, Kubeflow, Vertex AI, EconML, BERT, LightGBM, Scikit-learn, DoWhy, SageMaker

Machine Learning, Natural Language Processing, Python, Deep Learning, Generative AI

Nlp, Git, Python, Sql, Gcp, Azure, AWS, LLM fine-tuning