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naukri

Senior AI/ML Engineer – Azure | SAM-2026-001

Alpha Data PJSC
Dubai, UAE
5 10 Years
Onsite
Discovered 6 days ago
AI model and algorithm developmentTensorFlowPyTorchKerasPythonJava
Free

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AI model and algorithm developmentTensorFlowPyTorch
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Role Overview

Develop and implement AI models and algorithms using established machine learning frameworks.

Build and deploy AI solutions using cloud platforms, with specific experience in Azure AI services.

Technical Skills

  • Strong programming skills in Python, Java, or C++ and the ability to write clean, efficient, and maintainable code.
  • Deep understanding of supervised and unsupervised learning, deep neural networks, and reinforcement learning.
  • Proficiency in data manipulation, analysis, and visualization using NumPy, Pandas, and Matplotlib.
  • Familiarity with Hadoop and Spark for processing and analyzing large-scale datasets.
  • Knowledge of version control, unit testing, and agile software development methodologies.

Requirements

  • Solid experience developing and implementing AI models and algorithms.
  • Knowledge of cloud platforms and services, including AWS, Azure, or Google Cloud, for building and deploying AI solutions.
  • Experience with Azure AI Foundry, Citadel, Azure ML, and other AI applications.
  • Excellent problem-solving and analytical skills.
  • Strong communication skills for cross-functional collaboration and explaining AI concepts to non-technical stakeholders.

Responsibilities

  • Develop and implement AI models and algorithms.
  • Write clean, efficient, and maintainable software code.
  • Manipulate, analyze, and visualize data for AI and machine learning work.
  • Build and deploy AI solutions on cloud platforms, particularly Azure AI services.
  • Process and analyze large-scale datasets using big data technologies.
  • Apply software engineering best practices including version control, unit testing, and agile methodologies.
  • Break down complex problems and propose innovative solutions.
  • Collaborate with cross-functional teams and explain complex AI concepts to non-technical stakeholders.

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