Senior ML Engineer

March 13

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Fluxx

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Fluxx is a leading provider of cloud-based grants management software solutions aimed at enabling data-driven grantmaking for foundations, governments, and public charities. The platform helps organizations streamline their grant processes, improve communication, and increase transparency with an intuitive interface that supports team collaboration and efficient decision making. With powerful features such as role-based dashboards, connected data systems, and robust reporting tools, Fluxx empowers grantmakers to maximize their impact. The company is recognized for its strong, engaged customer community and its ability to integrate third-party tools for enhanced efficiency and accuracy.

Enterprise Software • Cloud-based Software • User Interface • Customer Relationship Management (CRM) • Workflow

51 - 200 employees

🤝 Non-profit

🏛️ Government

☁️ SaaS

💰 $29.2M Venture Round on 2021-04

📋 Description

• Drive technical strategy and architecture for data platforms, infrastructure, and tooling • Design robust and enterprise level data models • Manage technical debt, data architecture and system scalability • Ensure successful delivery of technical initiatives on time and with high quality • A team player working closely with other engineers to deliver on our AI roadmap • Design and execute technical roadmaps that balance quick wins with long-term scalability • Establish metrics and KPIs to measure effectiveness of data and AI initiatives • Ensure data security, compliance, and privacy standards are maintained • Implement processes for monitoring, alerting, and incident management • Design and implement self-service tools to enable teams to conduct complex data analysis and develop actionable insights • Work cross functionally with engineers, QA and product managers • Provide thought leadership in the continuous improvement of our data architecture, AI features, system, tests, and data quality indicators • Produce high-quality software that is fully tested, code reviewed, and secure • Stay on top of technology trends in the industry that might be used to resolve complex business problems

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or related field • 4+ years of experience as a Data Architect or in a similar role • 3+ years of database design and semantic layer development • 4+ years in analytics engineering, data science, data infrastructure, data pipelines, and data warehousing • Strong experience in assessing and implementing different models, including multimodal • Strong background in AWS technologies • Experience with modern data and BI tools • Strong background in software engineering with proficiency in Python • Experience building and maintaining data ingestion pipelines (i.e. ETL) and machine learning pipelines • Proven track record implementing tech stack tooling and driving best practices, including self-service analytics tools • Experience with data visualization tools (e.g., Power BI, Tableau, etc.) • Strong proficiency in SQL and T-SQL • Familiarity with scrum/agile development methodologies and DevOps tools, including Git • Experience with Ruby on Rails platforms is a big plus • Strong project management skills with focus on roadmap execution • Experience in high growth, SaaS environments • Fast learner, analytical thinker, creative, hands-on, strong communication skills • Proven ability to mentor engineers • An innate curiosity and desire to learn and grow • Dedication to writing and maintaining documentation • A willingness to adapt quickly

🏖️ Benefits

• Medical, dental, and vision insurance • Flexible time off • Paid sick leave • 12 weeks of fully-paid parental leave • Annual learning and development stipend • Internet stipend • One-time home office set-up stipend • 401(k) retirement plan with company match • Incentive stock options