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Azure ML Experts

Sr. Client Partner in San FranciscoBangalore North, Indiafull time
Expired

Job description

Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservices architectures.Must have AzureML experienceExpertise 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 WebUIDemonstrated ability to build and scale intelligent agents or AI-driven decision support systems.Hands-On expertise with AirflowExperience with MLOps and DataOps lifecycles and engineering practicesRun regular A/B tests, gather data, and draw conclusions on the impact of your models.Monitor and maintain production models.Strong problem-solving, system design, and stakeholder management skills.Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservices architectures.Must have AzureML experienceExpertise 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 WebUIDemonstrated ability to build and scale intelligent agents or AI-driven decision support systems.Hands-On expertise with AirflowExperience with MLOps and DataOps lifecycles and engineering practicesRun regular A/B tests, gather data, and draw conclusions on the impact of your models.Monitor and maintain production models.Strong problem-solving, system design, and stakeholder management skills.
  • Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservices architectures.
Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservices architectures.PythonJavaScaladata pipelinesAI/ML workflowsmicroservices
  • Must have AzureML experience
Must have AzureML experienceAzureML
  • Expertise in machine learning, and cloud computing (Azure).
Expertise in machine learning, and cloud computing (Azure).machine learningcloud computing
  • Deep understanding of LLMs (Large Language Models), retrieval-augmented generation (RAG), and autonomous/agentic AI systems. Preferably Anything LLM and Open WebUI
Deep understanding of LLMs (Large Language Models), retrieval-augmented generation (RAG), and autonomous/agentic AI systems. Preferably Anything LLM and Open WebUILLMs (Large Language Models)retrieval-augmented generation (RAG)autonomous/agentic AI systems
  • Demonstrated ability to build and scale intelligent agents or AI-driven decision support systems.
Demonstrated ability to build and scale intelligent agents or AI-driven decision support systems.intelligent agentsAI-driven decision support systems
  • Hands-On expertise with Airflow
Hands-On expertise with Airflow
  • Experience with MLOps and DataOps lifecycles and engineering practices
Experience with MLOps and DataOps lifecycles and engineering practicesMLOpsDataOps
  • Run regular A/B tests, gather data, and draw conclusions on the impact of your models.
Run regular A/B tests, gather data, and draw conclusions on the impact of your models.
  • Monitor and maintain production models.
Monitor and maintain production models.
  • Strong problem-solving, system design, and stakeholder management skills.
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