Java, Sql, Nosql, Tensorflow, Pytorch, MLops, Docker, Python, Kubernetes, Scikit-learn, MLflow, R, KServe

Java, PowerShell, Itil, Gcp, Pytorch, Docker, Azure, Kubernetes, Python, LLMs, AI ML libraries and frameworks, AI Engineering, GenAI ML solutions, AIOps

Java, Azure Machine Learning, Python, Deep Learning frameworks, Model evaluation techniques, Azure Cognitive Services, Feature engineering

Data Warehousing, Data Architecture, AI ML, Tensorflow, Pytorch, Version Control Systems, Python, Cloud Computing, Machine Learning Algorithms, DevOps practices, SageMaker, data lakes, ETL processes, model evaluation techniques, Statistical Modeling

Sql, Pytorch, Java, Nosql, Python, Kubernetes, Tensorflow, Docker, MLflow, KServe, R, Scikit-learn

Azure Functions, Docker, Python, Machine Learning Algorithms, AWS, Java, Aws Lambda, Azure Machine Learning, Azure, Kubernetes, GenAI, scaling of GenAI applications, Google Cloud AI Platform, Amazon SageMaker, AWS AI ML services, Google GenAI services, model evaluation techniques, Azure Cognitive Services, data preprocessing, DevOps practices, deep learning frameworks, Google Cloud Functions, cloud-based deployment, Google Cloud AutoML, reinforcement learning frameworks, CI CD pipelines, feature engineering, OpenAI, GPT-3

data engineering , tokenization , Rust, Jax, Tensorflow, Pytorch, Gcp, Python, AWS, evaluating LLMs, data preprocessing, Transformers, Voice capabilities, multi-agent orchestration frameworks, datasets, machine learning libraries, cloud environments, pipeline automation, Multi-modal LLMs, TTS systems, ML backend engineering, vector-based retrieval systems, RAG architectures