Deep Learning, Nlp, Machine Learning, MLops, data preprocessing, Cv, model training, retraining, feature engineering, Monitoring, model serving

model development , Machine Learning, Tensorflow, Data Science, Pytorch, Docker, Azure, Python, Kubernetes, LangChain, Generative AI, Model Evaluation, MLflow, Statistics, MLOps Fundamentals, Vector Databases, RAG Architecture, Vertex AI, OpenAI, Responsible AI, Prompt Engineering

model development , Machine Learning, Tensorflow, Data Science, Pytorch, Docker, Azure, Python, Kubernetes, LangChain, Generative AI, Model Evaluation, MLflow, Statistics, MLOps Fundamentals, Vector Databases, RAG Architecture, Vertex AI, OpenAI, Responsible AI, Prompt Engineering

.NET, cloud security, Iam, Rest Apis, Azure Machine Learning, Python, embeddings, LLMs, Generative AI frameworks, vector databases, Azure OpenAI, Azure AI Foundry, prompt engineering, Azure AI Services, microservices architecture, governance in Azure

AI ML, Sql, Testing Frameworks, Pandas, Microsoft Azure, FastAPI, Asynchronous programming, Python, Pytest, vector search, embeddings, Dremio, Scikit-learn, anomaly detection, RAG, Streamlit, time-series analysis, agent orchestration

Functions, Sql, Docker, Rest Apis, AI ML solutions, embeddings, Generative AI, storage services, K8S, advanced ML techniques, OKE, prompt engineering, LLM APIs, OpenAI, Agentic solutions, Cohere, model optimization

Data Science, Python, Cloud computing platforms, R, Machine learning frameworks and libraries, Deep learning architectures

Apache Airflow, Github, Terraform, Python, AWS, Ray, MLflow, Kubernetes EKS

Rust, Scipy, Tensorflow, Numpy, Pandas, Pytorch, Neo4j, Opencv, Python, Langchain, scikit-learn, Vector DBs, ArangoDB, Kubeflow, MLFlow, LlamaIndex