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    Senior Manager, Machine Learning and Data Science - Old Toronto, Canada - Loopio

    Loopio
    Loopio Old Toronto, Canada

    2 weeks ago

    Default job background
    Description

    Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam. Loopio's Data Enablement Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features and delivers innovative solutions where it matters the most for our customers.

    We are looking for an experienced Sr. Manager, Machine Learning and Data Science, to lead a dynamic group of Machine Learning Engineers and Data Scientists on our Data Enablement team. Our ideal candidate has deep technical and leadership skills and is comfortable working in an evolving technology infrastructure and dynamic environment. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real-world problems. You will empower engineers, product, and data scientists with tools that enable and streamline data-driven decision-making, analysis, and feature development. You will partner closely with other Senior Engineering Leaders, Data Scientists, Machine Learning Engineers, Product Managers and Designers, and other business stakeholders to help us take Loopio's data value and AI innovation to the next level.

    What You'll Be Doing


    You will be a valuable member of the Senior Engineering Leadership team and, as such, responsible for fostering a thriving culture, product execution and innovation.

    You will be partnering with the rest of the Leaders across the Loopio organization and representing our Data and ML/DS team to provide valuable insights and support.

    Promote data-driven decision-making across the organization through data expertise.

    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.

    Responsible for creating a high-performing team and fostering a culture of technical excellence, continuous improvement, and collaborative problem-solving within the team.

    Lead with company values in mind and help create bridges across organizations.

    Lead the development of predictive models to help drive insights and decisions, both in Loopio's product and internal teams (RevOps, Marketing, CX)

    Work closely with stakeholders within and across teams to understand the data needs of the business and produce processes that enable a better product and support data-driven decision-making.

    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

    What You'll Bring to the Team


    10+ years of experience in software engineering, machine learning, or data science with recent experience in machine learning demonstrating mastery of advanced ML algorithms, frameworks,

    3+ years of people management experience, including highly effective conflict resolution, performance management, talent reviews, succession planning, coaching low to high-level performer

    Strong understanding of business operational and technical/engineering concepts backed by problem-solving skills to help drive technical decision-making.

    Experience with distributed systems development using microservices architecture

    Experience in building and maintaining an enterprise data warehouse (EDW) and being well-versed in Data Lake architecture and design.

    Demonstrated experience designing and developing cloud-based training pipelines

    Ability to implement state-of-the-art deep learning algorithms

    Knowledge of deep learning frameworks, algorithms and design of various inference systems, including cloud-based servers and hardware accelerators

    Experience in Public Cloud (AWS, Azure or GCP), Docker containers, Kubernetes, Infrastructure Automation and API development

    Proven experience in software product delivery and operations for large-scale customer facing and mission-critical products

    Exceptional communication and interpersonal skills, capable of leading diverse teams and driving cross-functional collaboration.

    Ability to influence and inspire others to positively impact decisions and lead teams through complex or ambiguous situations or challenges

    Demonstrated business acumen when it comes to understanding the total cost of ownership and cost-to-profitability models across multiple interdependent products.

    Experience working in a high-growth agile software development environment, ideally with experience in B2B SaaS.

    Experience building and supporting large-scale systems in a production environment

    Ability to clearly communicate technical roadmap, challenges, and mitigation

    Bonus 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


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