Azure AI/ML Architect

3 weeks ago

India Accellor Full time

We are seeking a highly skilled Azure AI Data Platform Architect to join our team. In this role, you will be responsible for designing, developing, and implementing scalable data solutions on the Azure platform, leveraging AI and machine learning to drive data-driven decision-making. You will work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to create robust data architectures that support our clients' strategic objectives.

Key Responsibilities:

  • Design and implement Azure-based data platforms that support AI and machine learning initiatives.
  • Collaborate with data engineering and data science teams to ensure seamless integration of data pipelines and AI models.
  • Develop data architecture frameworks, standards, and best practices for data governance and management.
  • Analyze and optimize existing data architectures and workflows to enhance performance and scalability.
  • Identify opportunities to leverage AI and machine learning technologies to drive business value.
  • Provide technical leadership and guidance to team members on Azure data services, AI technologies, and best practices.
  • Conduct proof-of-concept projects to evaluate new tools, technologies, and methodologies.
  • Collaborate with clients to understand their business requirements and translate them into technical solutions.
  • Stay current with industry trends and emerging technologies in data platforms, AI, and cloud computing.


Requirements:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; Master’s degree preferred.
  • Proven experience as a Data Platform Architect, with a focus on Azure data services and AI technologies.
  • Strong proficiency in Azure data services such as Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Azure Machine Learning.
  • Experience with data modeling, ETL processes, and data warehousing concepts.
  • Familiarity with programming languages such as Python, R, or Scala for data manipulation and analysis.
  • Knowledge of data governance, security, and compliance best practices.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.

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