机器学习工程师
Machine Learning Engineer
关于DonorSearch：
DonorSearch是领先的前景研究解决方案提供商，帮助非营利组织、教育机构和其他筹款组织最大化其筹款努力。通过利用人工智能驱动的分析和广泛的财富与慈善数据库，我们帮助组织识别并接触高潜力捐赠者。我们以创新的解决方案、公司文化和对非营利领域的承诺而自豪。
职位概述：
我们正在寻找一位充满活力且善于协作的机器学习工程师加入我们的快节奏团队。该职位将专注于构建和优化数据管道，管理ETL流程，并支持预测模型的实施。您将与数据科学家、开发人员和利益相关者紧密合作，以提升我们的AI驱动解决方案。
主要职责：
- 使用Python、PySpark、AWS Glue和其他AWS服务开发、部署和优化数据管道和ETL流程。
- 与数据科学家合作，使用DataRobot或SageMaker实现机器学习模型的落地。
- 使用QuickSight、Tableau或Power BI创建有洞察力且可操作的可视化结果。
- 通过严格的测试和文档确保高质量、可靠的代码。
- 在我们的数据基础设施中识别并实施提高效率和性能的机会。
- 在敏捷团队环境中积极工作，参与冲刺计划、执行和评审。
所需关键资质：
- 精通Python、PySpark和AWS Glue。
- 具有机器学习平台（如DataRobot或AWS SageMaker）的经验。
- 具有AWS云服务的实际经验。
- 熟练使用可视化工具（如QuickSight、Tableau或Power BI）。
- 了解ETL/数据管道流程。
- 熟悉代码测试和版本控制实践（优先）。
- 具备基本的机器学习建模技术理解。
- 优秀的沟通能力，具备在远程团队中有效协作的实际能力。
优先资质：
- 在非营利或筹款环境中有过工作经验。
- 接触过敏捷方法。
- 强大的分析和解决问题的能力，注重持续改进。
资格要求：
候选人必须合法有权在美国工作。
此远程全职职位根据经验提供年度薪资，并有额外的绩效奖金。我们提供团队协作支持。
查看英文原文
About DonorSearch:
DonorSearch is the leading provider of prospect research solutions that empower nonprofits, educational institutions, and other fundraising organizations to maximize their fundraising efforts. By leveraging AI-powered analytics and extensive wealth and philanthropic databases, we help organizations identify and engage with high-potential donors. We take pride in our innovative solutions, company culture, and commitment to supporting the nonprofit sector.
Job Summary:
We are seeking a dynamic and collaborative Machine Learning Engineer to join our fast-paced team. This role will focus on building and optimizing data pipelines, managing ETL processes, and supporting the implementation of predictive models. You will collaborate closely with data scientists, developers, and stakeholders to enhance our AI-driven solutions.
Key Responsibilities:
- Develop, deploy, and optimize data pipelines and ETL processes using Python, PySpark, AWS Glue, and other AWS services.
- Collaborate with data scientists to operationalize machine learning models using DataRobot or SageMaker.
- Create insightful and actionable visualizations using QuickSight, Tableau, or Power BI.
- Ensure high-quality, reliable code through rigorous testing and documentation.
- Identify and implement opportunities for improved efficiency and performance within our data infrastructure.
- Work proactively within an agile team environment, contributing to sprint planning, execution, and reviews.
Required Key Qualifications:
- Proficiency in Python, PySpark, and AWS Glue.
- Experience with machine learning platforms such as DataRobot or AWS SageMaker.
- Hands-on experience with AWS cloud services.
- Competency in visualization tools like QuickSight, Tableau, or Power BI.
- Knowledge of ETL/data pipeline processes.
- Familiarity with code testing and version control practices (preferred).
- Basic understanding of machine learning modeling techniques.
- Excellent communication skills and a proven ability to collaborate effectively in remote teams.
Preferred Qualifications:
- Prior experience working in nonprofit or fundraising environments.
•Exposure to agile methodologies.
- Strong analytical and problem-solving skills with an eye for continuous improvement.
Eligibility:
Candidates must be legally authorized to work in the United States.
This remote, full-time position offers a annual salary based on experience with an additional performance bonus. We offer a comprehensive and competitive benefits package including medical, dental, and vision insurance with employer subsidy, 401(k) with company match, STD/LTD, voluntary life insurance, 3 weeks’ paid time off, 10 paid holidays, tuition reimbursement program, corporate philanthropy program, 2 in-person all-staff retreats each year, and personal and professional development opportunities.
Salary:$95,000 - $105,000
Join us in transforming philanthropy through the power of AI. Apply now to become a vital part of the DonorSearch AI team!
Originally posted on Himalayas