Data Scientist, Python, Tensorflow, MLops, Ms Sql Server, Databricks, PyTorch libraries

Ml, Deep Learning, MLops, Python, Generative AI, AI accelerator chips, DL, Ai, Transformer-based networks, reinforcement learning, Agentic AI, RL

Machine Learning, Sql, MLops, Python, AWS, GenAI, automated retraining pipelines, Simulation, Monitoring, R, Optimization, Statistical Modeling, model registries, synthetic data generation, offline experimentation

Python Programming, Agentic AI systems, Data preprocessing, Databases and data management, Data visualization tools, AI ML algorithms, MLOps tools and frameworks, Model evaluation, Feature engineering

Databricks, MLops, AWS, Python, Azure, Gcp, MLflow, LLMs, Vector databases, Multi-agent systems, LangChain, CrewAI, Classification, Generative AI, Regression, LangGraph, Embedding pipelines

Sql, Computer Vision, Pyspark, Machine Learning, MLops, Python, Docker, Scala, Flask, Spark, PEFT, Personalization Algorithms, RAG, User Behavior Modeling, Recommendation Systems

Ml, Deep Learning, MLops, Python, Algorithms, data structures, generative AI architectures, LLMs, GANs, Transformer-based networks, Ai, DL, SLMs, autoregressive models, Variational Autoencoders, reinforcement learning, RAG, Agentic AI, RL, modern AI frameworks, Generative AI

Numpy, Nlp, Pytorch, Flask, Python, Ml, Sql, Redis, Deep Learning, Django, Pandas, MLops, FastAPI, scikit-learn, Hugging Face Transformers, model versioning, MLflow, embedding-based retrieval, Dash, large language models, Streamlit, automated testing frameworks, SpaCy, experiment tracking, TF 2, fine-tuning, R-Shiny, prompt engineering, CI CD pipelines