Loopio is hiring a
Director, Machine Learning and Data Science

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Loopio

💵 ~$105k-$157k
📍Remote - Canada

Summary

The job is for a Director, Machine Learning and Data Science role at Loopio's Data Enablement Team. The position involves leading a team to improve the RFP response process and take Loopio’s data value and AI innovation to the next level.

Requirements

  • A minimum of 10 years in software engineering, with profound knowledge in machine learning or data science
  • Leadership & Talent Management skills
  • Strategic Problem-Solving skills
  • Technical Proficiency in distributed systems development, constructing and managing an Enterprise Data Warehouse (EDW), Data Lake architecture and design, designing and implementing cloud-based training pipelines and state-of-the-art deep learning algorithms, deep learning frameworks, algorithms, and inference system designs, Public Cloud platforms (AWS, Azure, or GCP), Docker containers, Kubernetes, Infrastructure Automation, and API development

Responsibilities

  • Foster a thriving culture, product execution and innovation
  • Lead the development of advanced automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations
  • Inspire and lead the Data Enablement team, which includes Machine Learning Engineers, Data Scientists and Data Engineers, by setting clear objectives, promoting innovation, and ensuring alignment with the company’s strategic goals
  • Lead with company values in mind and help create bridges across organizations
  • Lead the development of scalable data pipelines using Databricks, and AWS (Redshift, S3, RDS), and other cloud technologies
  • Lead the support of Loopio’s data warehouse (Redshift) and data lake (Databricks delta lake)
  • Lead the orchestration of pipelines using workflow frameworks/tooling

Preferred Qualifications

  • Experience with container orchestration (leveraging tools like Docker, ECS, Kubernetes)
  • Experience working with BI PaaS / SaaS solutions
  • Familiarity with microservice architectures
  • Hands on experience as ML/DS Engineer
  • Experience with Natural Language Processing techniques
  • Experience using deep learning frameworks such as TensorFlow / Pytorch

Benefits

  • Your manager supports your development by providing ongoing feedback and regular 1-on-1s
  • You have tons of autonomy and responsibility: this role provides an opportunity to try new things and push creative boundaries
  • You’ll learn more than you thought was possible; our team is obsessed with personal and professional growth (every Looper receives a professional mastery allowance each year)
  • You’ll be set up to work remotely with a MacBook laptop, a monthly phone and internet allowance, and a work-from-home budget to help get your home office all set up!
  • Join us in regular company socials, AMA (Ask-Me-Anything), and quarterly kick-off to celebrate the big wins and milestones as #oneteam!
  • You’ll be joining a culture that has thoughtfully built out opportunities for connections in a remote first environment
  • We have Employee Resource Groups, various fun virtual activities, and many more moments for us to have fun and learn together!

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