Data Science Solutions Architect

3 weeks ago

Bengaluru, Karnataka, India SKS Enterprises Full time

Job Title: Data Science Solutions Architect

About the Role: We are seeking a highly skilled Data Science Solutions Architect to join our team at SKS Enterprises. As a seasoned professional in the field of data science, you will be responsible for developing and deploying AI-powered SaaS platforms that integrate NLP search and content retrieval engines, user-facing conversational experiences, and low-code widget management consoles.

Responsibilities:

  • Develop, deploy, and monitor multiple ML models critical to our product offerings.
  • Understand the product roadmap, clarify technical ambiguities for the team, and define the overall technical architecture.
  • Foster engineering culture and mentor junior engineers in best Software Development Life Cycle (SDLC) practices.
  • Conduct rigorous code and design reviews to maintain high standards.
  • Lead by example through exemplary code and practices, inspiring junior SDEs.
  • Drive test-driven development and ensure agile architecture to enhance team agility.
  • Collaborate closely with product managers to develop customer-centric solutions, simplifying solutions for efficiency.
  • Work closely with the Engineering Leaders and the Co-founder/Data Scientist.
  • Deliver high-quality software on schedule to meet customer expectations.

Requirements:

  • 8+ years of experience in building, deploying, and maintaining ML models.
  • Strong expertise in architecting scalable systems with a focus on engineering and operational excellence.
  • Cost-conscious and committed to software optimization to minimize infrastructure costs.
  • Highly self-driven with a proactive learning mindset and a strong focus on execution.
  • Enjoy mentoring and developing team members while upholding high engineering standards.
  • MS/BS in Computer Science or a highly quantitative field is preferred.
  • Experience with AWS SageMaker, ML Flow, Azure, and Kubernetes; familiarity is advantageous.
  • Ability to thrive in an agile environment with a continuous integration focus.

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