of relevant experience as a Data Engineer in Big Data. Strong experience in executing complex data analysis and running complex... Machine Learning, MLOps frameworks, or containerized environments (e.g., AKS). Awareness of ethical AI practices, including...
). · Understanding of machine learning workflows and MLOps practices. · Proficiency in data visualization tools (Power BI). Soft... networking, IAM, and infrastructure monitoring. Certifications Azure Data Engineer / Azure AI Engineer Azure Architect...
cases from concept to adoption (production or scaled rollout desirable). You don’t need to be an expert engineer; we value... AI and data platforms such as Azure, AWS, and Databricks. Ability to discuss concepts like data pipelines, APIs, MLOps...
AI Engineer, you will be responsible for architecting and implementing end-to-end AI solutions using Azure Machine Learning, Azure..., monitoring, and lifecycle management. Who You Are: An Azure AI Engineer who can design, build, and operate intelligent...
layers and analytics models to enable consistent, reusable metrics across BI, analytics, and AI use cases. Engineer... versioning, and change management in multienvironment deployments Advanced Data Pipelines & Orchestration Engineer highly...
, and autonomous agentic applications. Engineer end-to-end RAG pipelines and multi-agent workflows using LangChain, AutoGen, Copilot...) with containerized deployments (Docker, Kubernetes). Apply MLOps best practices: CI/CD, model versioning, drift detection, observability...