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Manager, Software Engineering - ML AI DG Platform

Remote, Pune, India
Management

Location - Pune OR Bengaluru

The Role

Be at the forefront of exciting data initiatives at Addepar!

Addepar is hiring a hands-on engineering manager who will bring to bear their expertise, leadership, and platform management skills to create solutions for Machine Learning, AI, and Data Governance.

What You’ll Do

  • Work in partnership with product managers and technical partners to identify requirements and priorities, and map out solutions for challenging technology and workflow problems.
  • Gain foundational knowledge of core Addepar systems, including the Addepar Data Lakehouse. Use these insights to inform a strategic approach for AIML Ops, and Data Governance infrastructure.
  • Create platform-based solutions for the creation, tuning, and deployment of Machine Learning and AI solutions
  • Reduce complexity through the adoption of strategic data architecture and workflows
  • Unlock data value through the enablement of data governance outcomes

Who You Are

  • 10+ years of experience in the software engineering field.
  • 5+ years of relevant work experience and education that shows proficiency in platform management, particularly in enabling Machine Learning and AI outcomes.
  • A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills.
  • Practical knowledge of agile practices with an outlook that prioritizes experimentation and iteration combined with an ability to guide teams toward activities and processes that facilitate optimal outcomes.
  • Comfortable working in a cloud context, with automated infrastructure and service oriented architecture.
  • Experience with Data Governance initiatives and a track-record of improving data outcomes
  • Experience with SaaS / Cloud offerings will be a big plus.
  • Experience with Python will be a big plus.

Our engineering stack has PySpark on Databricks at its core; so experience in these technologies is preferred.

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