Senior Manager, Machine Learning and Data Science

May 23

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Loopio

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Supercharge responses to RFPs, RFIs, and Security Questionnaires.

Proposal Management Software • Proposal Software • RFP Response • Sales Effectiveness • Proposal Writing

201 - 500

💰 Private Equity Round on 2021-03

Description

• Lead the development of advanced automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations • Inspire and lead the Data Enablement team, including Machine Learning Engineers, Data Scientists, and Data Engineers • Responsible for creating a high-performing team and fostering a culture of technical excellence • 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

Requirements

• 10+ years of experience in software engineering, machine learning, or data science • 3+ years of people management experience • Strong understanding of business operational and technical/engineering concepts • Experience with distributed systems development using microservices architecture • Experience building and maintaining an enterprise data warehouse (EDW) • 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 • 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 • Ability to influence and inspire others to positively impact decisions and lead teams through complex situations • Demonstrated business acumen • Experience working in a high-growth agile software development environment • Experience building and supporting large-scale systems in a production environment • Ability to clearly communicate technical roadmap, challenges, and mitigation

Benefits

• 11 paid holidays • Generous Accrued Time Off • Generous paid sick time • Annual day of service