Principal Data Architect

1 month ago


Montreal, Quebec, Canada Reliant AI, Inc. Full time
About the Role

We are seeking a highly skilled Principal Data Architect to lead our efforts in designing and architecting ML solutions with our data scientists and engineers. Collaborate to build scalable, distributed, and fault-tolerant infrastructure for large data volumes and real-time inference.

Key Responsibilities:
  • Design and architect ML solutions, including data ingestion, preprocessing, model development, deployment, and monitoring.
  • Create highly scalable, distributed, and fault-tolerant model training and deployment infrastructure.
  • Optimize performance of ML models, data pipelines, and infrastructure for maximum efficiency and scalability.
  • Mentor the engineering team and promote knowledge sharing and continuous learning.
  • Collaborate with cross-functional teams and provide technical leadership.
  • Establish data quality and governance processes to ensure reliable and integral data.
Requirements:
  • Bachelor's or master's degree in computer science, engineering, or related field.
  • 10+ years of experience in machine learning, data engineering, or related roles.
  • Strong architectural skills, with expertise in programming languages like Python, Java, or Scala, and knowledge of ML frameworks and libraries.
  • Strong understanding of data engineering principles, data preprocessing techniques, data governance, and data integration.
  • Strong analytical thinking, problem-solving, and troubleshooting skills to address complex architectural challenges.
  • Familiarity with software engineering best practices, version control systems, and agile development methodologies.
  • Experience developing machine learning applications and deploying in a business setting, especially generative AI applications, is highly desirable.
What We Offer

$185,000 - $220,000 per year salary, plus comprehensive benefits package, and opportunities for professional growth and development.


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