Version Control, API design, Automated Testing, Sql, Distributed Systems, Python, secure development practices, retrieval-augmented generation, CI CD, machine-learning services, intelligent workflow automation, AI-enabled solutions, observability

Gcp, MLops, Docker, Databricks, Azure, Python, AWS

Tensorflow, Pytorch, Gcp, Docker, Distributed Systems, Azure, Kubernetes, Python, AWS, Airflow, SHAP, LLMs, generative AI, Scikit-learn, MLflow, prompt engineering, LIME, Kubeflow, CI CD pipelines, explainability tools, RAG architectures

Databricks, Microservices, AWS, Python, Kubernetes, Apis, vector databases, AI systems orchestration frameworks, backend services, AI-powered automation solutions, orchestration frameworks, event-driven systems, agentic workflows, AI data pipelines, cloud-native development, lakehouse platforms, tool-calling architectures, data lakes

Alteryx, Tableau, Tensorflow, Nlp, Pytorch, Database Design, Talend, Python, Power Bi, Api Development, Power Platform, Deep Learning, MLops, Claude, GPT, Azure OpenAI, Large Language Models, Generative AI, AI Foundry, Ai, DataOps, Llama, Azure AI services, AI Search

Machine Learning, Alteryx, Data Transformation, Power Bi, Api Development, Tableau, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Database Design, Azure Cloud services, Talend, Reporting Tools, GenAI technologies, generative models, AI technologies, Analytics, DataOps, large language models

Alteryx, Tableau, Deep Learning, Tensorflow, Nlp, Pytorch, Database Design, Talend, Machine Learning, Data Transformation, Power Bi, Api Development, MLops, Azure Cloud services, Claude, GPT, Analytics, compliance standards, large language models, AI frameworks, risk management, AI governance frameworks, generative models, DataOps, BI and reporting tools, Llama, AI and GenAI technologies

Kubernetes, Python, AI ML application development, Observability and monitoring tools, MLOps AIOps tools, CI CD pipelines, GenAI frameworks