Director, AI and Machine Learning Engineering

Published date Posted on Indeed on Jan 15, 2022 (2 d ago)

Alvaria employs a team of passionate individuals who are changing the face of customer engagement. Over our 40-year history we have empowered employees by creating an inspired community that values Urgency, Accountability and Results. Our ability to think big has enabled us to continually evolve and lead the market, and to stay on the forefront with exciting technologies including cloud, mobile and artificial intelligence.


Job Description

This exciting new role will lead AI and machine learning engineering initiatives across our SaaS product line. Leveraging the power of AI & ML on top of Alvaria’s enterprise customer data is crucial to the success of their mission critical solutions. This role will be a key thought leader, working to successfully deliver AI/ML engines and services into production so that they can add value across Alvaria’s best-in-breed public cloud product offering. The role will have the opportunity to build a team of AI/ML engineers and data scientists.
The role will report to the CTO.

Responsibilities
  • Recruit, mentor, and grow world class engineers and data scientists.
  • Partner with cross functional team members to develop and maintain a well-defined roadmap, while balancing technological excellence.
  • Help define technical direction and architecture with engineering team members.
  • Provide thought leadership around applying AI and ML technology to the enterprise contact center space

Qualifications

Requirements
  • 10+ years of hands-on technical experience.
  • 5+ years of direct management experience of highly technical engineers and/or data scientists.
  • 5+ years of experience with machine learning engineering and data science workflows
  • 5+ years of experience working on public cloud environments and associated deep understanding of ML tools and solutions within that stack, or open source alternatives
  • Bachelor’s degree in Computer Science or another quantitative field. We will consider equivalent practical experience.
  • Experience in delivering multiple complex technical projects within an Agile environment.
  • Experience with big data engineering tools such as Python, Spark, or comparable.
  • Experience creating and building models using ML libraries such as scikit-learn or comparable, and building models in Tensorflow, or comparable.

Knowledge, Skills, And Abilities
  • Expertise in developing software on a public cloud platform (e.g. AWS, GCP, MS Azure etc.)
  • Expertise in developing software with stream processing technology (e.g. Kafka, AWS Kinesis etc.)
  • Proficiency with backend systems built using microservices, containerized infrastructure, and modern continuous delivery practices.
  • Outstanding written and verbal communication skills.


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Alvaria is an equal opportunity/affirmative action employer with a strong commitment to diversity. In that spirit, we are particularly interested in receiving applications from a broad spectrum of people, including women, minorities, individuals with disabilities, veterans or any other legally protected group.


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