DATA ARCHITECT – AI/ML

Summary

Responsibilities

• Architect scalable and secure data pipelines that facilitate the ingestion, processing, and storage of large-scale datasets required for AI and ML workflows.
  
• Design and maintain data models that support advanced analytics, ensuring high availability and low latency for machine learning applications.
  
• Collaborate with data scientists and engineers to translate business requirements into technical data solutions, optimizing algorithms for production environments.
  
• Implement best practices for data governance, quality assurance, and security across the entire data lifecycle.
  
• Utilize programming languages such as Python and R, along with libraries like Pandas, NumPy, and SciPy, to develop custom data transformation scripts and analytical tools.
  
• Create comprehensive data visualizations to communicate complex insights to stakeholders and drive business strategy.
  
• Manage version control and code collaboration using Git to ensure efficient development cycles and code integrity.
  
• Evaluate emerging technologies and methodologies to continuously improve the organization's AI/ML data architecture.
  

• Possess a minimum of 8 to 15 years of professional experience in data architecture, data engineering, or related technical fields.
  
• Demonstrate deep proficiency in Python and/or R, with a strong command of scientific computing libraries including Pandas, NumPy, and SciPy.
  
• Show proven expertise in developing and deploying Machine Learning models and conducting Predictive Analytics.
  
• Have extensive experience in creating Data Visualizations to interpret and present data trends effectively.
  
• Be well-versed in version control systems, specifically Git, for collaborative software development.
  
• Hold a competitive salary expectation within the range of ₹15-20 LPA, commensurate with the required level of expertise and industry standards.