ML Engineer | Senior | Remote

Senior ML Engineer | Grant Writing Software | Fully Remote Help us shape the future of Philanthropy Responsibilities

• Drive technical strategy and architecture for data platforms, infrastructure, and tooling
• Manage technical debt, data architecture and system scalability
• Ensure successful delivery of technical initiatives on time and with high quality
• 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

• Bachelor's degree in Computer Science, Engineering, or related field
• 4+ years of 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 Dev Ops 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