Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservices architectures.
Must have AzureML experience
Expertise in machine learning, and cloud computing (Azure).
Deep understanding of LLMs (Large Language Models), retrieval-augmented generation (RAG), and autonomous/agentic AI systems. Preferably Anything LLM and Open WebUI
Demonstrated ability to build and scale intelligent agents or AI-driven decision support systems.
Hands-On expertise with Airflow
Experience with MLOps and DataOps lifecycles and engineering practices
Run regular A/B tests, gather data, and draw conclusions on the impact of your models.