Job Description: Azure AI Specialist Position Title: Azure AI Specialist Location: Remote Job Type: Full-time Experience Level: Mid-Level (3 years of experience) About Us: RAMSolutions is a dynamic and rapidly growing organization dedicated to attracting and retaining top talent.
We are committed to fostering a collaborative and inclusive work environment that empowers our employees to achieve their best.
Join us and be a part of our exciting journey towards success.
Job Summary: As an Azure AI Specialist, you will be responsible for developing, implementing, and maintaining AI solutions using Microsoft Azure.
You will collaborate with cross-functional teams to design AI models, integrate them into existing systems, and ensure their optimal performance.
Your expertise will help us enhance our data-driven decision-making processes and deliver innovative solutions to our clients.
Key Responsibilities: Develop, deploy, and maintain AI models and solutions using Azure AI services.
Collaborate with data scientists, engineers, and stakeholders to identify and define AI opportunities.
Design and implement data pipelines and workflows to support AI initiatives.
Optimize AI models for performance, scalability, and accuracy.
Integrate AI solutions into existing applications and systems.
Monitor and troubleshoot AI models in production, ensuring reliability and accuracy.
Stay updated with the latest advancements in AI and Azure technologies.
Provide technical guidance and support to team members and stakeholders.
Qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
Minimum of 3 years of experience working with Azure AI services and solutions.
Proficiency in programming languages such as Python, R, or Java.
Strong understanding of machine learning algorithms and techniques.
Experience with data processing frameworks like Apache Spark or Azure Data Factory.
Knowledge of Azure Machine Learning, Cognitive Services, and other relevant Azure AI tools.
Excellent problem-solving skills and the ability to work independently and in a team.
Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.
Preferred Qualifications: Azure AI Engineer Associate or other relevant certifications.
Experience with natural language processing (NLP) and computer vision projects.
Familiarity with big data technologies such as Hadoop or Databricks.
Understanding of DevOps practices and tools.
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