DATA ARCHITECT – AI/ML

Summary

We are seeking an experienced Data Architect to lead the design and implementation of robust data ecosystems specifically tailored for Artificial Intelligence and Machine Learning initiatives. In this pivotal role, you will bridge the gap between complex data infrastructure and advanced analytical models, ensuring that data flows seamlessly to support predictive analytics and strategic decision-making. Your expertise will be instrumental in shaping the organization's data strategy, optimizing performance, and fostering a culture of data-driven innovation within the IT Services sector.

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.
  

Requirements

Requirements:

• 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.