Apache Spark, Sql, Tensorflow, Pytorch, Databricks, Python, Machine Learning Algorithms, model versioning, deep learning frameworks, Lakehouse architectures, cloud platforms, MLflow, Monitoring, MLOps practices, Statistical Modeling, drift detection, CI CD for ML, automated retraining

bedrock , S3, CDK, Quicksight, Tensorflow, Lambda, Ec2, Pytorch, Docker, Python, Java, Aws Services, Cloudformation, Scala, Emr, Sql, MLops, Kubernetes, Infrastructure as Code, Hugging Face, R, Generative AI, Scikit-learn, SageMaker, Glue, Transformers

Matplotlib, Hadoop, Power Bi, data mining, Big Data Technologies, Tableau, Google Cloud, Spark, Azure, Python, AWS, Machine Learning Algorithms, data visualization tools, R, MLOps practices, Statistical Modeling, cloud-based data platforms, feature engineering

Machine Learning, Predictive Analytics, Python, Apis, MLops, Distributed Systems, Cloud-native environments, Developer Productivity, Intelligent Automation, Generative AI, Statistical Machine Learning

Java, Scala, Sql, Nosql, Gcp, Data Architecture, Spark, Databricks, Azure, Kubernetes, Python, AWS, Event-driven systems, Delta Lake

Machine Learning, Natural Language Processing, MLops, Artificial Intelligence, Deep Learning, cloud, XGBoost, Tensorflow, Pytorch, generative ai, model training, fine tuning, prompt engineering, peft, machine learning evaluation, embedding, ai agents, rag, large language models, vector database, lightgbm, ml systems

triton , Tensorflow, MLops, Pytorch, Kubernetes, Python, PEFT, Airflow, fine-tuning, Generative AI, LLMOps, Hugging Face, Ray, vector databases, LLM systems, large-scale retrieval systems, vLLM, Agentic AI, Distillation, TGI, LoRA, RAG architectures, model optimization

S3, PostgreSQL, Tensorflow, Lambda, Javascript, Ec2, Pytorch, Docker, XGBoost, Python, Node.js, Redis, Opencv, FastAPI, MongoDB, Kubernetes, scikit-learn, Hugging Face, TensorRT, TorchScript, Pinecone, ONNX, Stable Diffusion, Detectron2, controlnet, YOLO, AWS SageMaker, Diffusers

Databases, API design, Distributed Systems, Python, LangChain, CrewAI, LLMs, AutoGen, backend architecture, Evaluation, guardrails, LLM orchestration, LlamaIndex

Computer Vision, Deep Learning, LangChain, VectorDBs, GenAI models optimization, Model deployment, RAG, Performance Tracking, Data ingestion and preparation, Feature engineering