数据与机器学习工程师 中级 - 特征工程 - Databricks
Data & ML Engineer Semi Senior - Feature Engineering - Databricks
🚀 加入我们的远程数据产品与机器学习初创公司！ 🚀
在 Muttdata，我们构建创新的数据产品和机器学习解决方案，帮助公司解决复杂的业务挑战。作为一家快速发展的远程优先的初创公司，我们对技术、协作和持续学习充满热情。
这个机会是与位于墨西哥城的一家领先的跨国饮料公司合作。
我们正在寻找一名数据与机器学习工程师（半资深）——特征工程，加入我们的团队 🐶🚀。你将构建并管理支持我们信用评分金融模型的特征，确保可靠、可重用且可审计的信号作为信用风险的原始材料——符合 AI Factory 特征存储标准。
此职位与建模和平台团队紧密合作，将交易和信用行为数据转化为可信、良好治理的特征。注重细节、强大的数据治理意识以及以复用为先的思维模式是在这个快节奏、协作环境中取得成功的关键。
🚀 我们的工作
- 利用我们的专业知识，构建现代的机器学习系统用于需求规划和预算预测。
- 开发可扩展的数据基础设施，提升针对每个客户的高层决策能力。
- 提供全面的数据工程和定制AI解决方案，优化基于云的系统。
- 使用生成式AI，帮助电商平台和零售商更快地创建高质量广告。
- 构建深度学习模型，增强各行业的视觉识别和自动化，提高产品分类、质量控制和信息检索。
- 开发推荐模型，个性化电商、流媒体和数字平台的用户体验，提升参与度和转化率。
🌟 我们的合作伙伴
- 亚马逊网络服务
- Astronomer
- Databricks
🌟 我们的价值观
- 📊 我们是数据狂热者
- 🤗 我们是开放的团队合作者
- 🚀 我们有主人翁精神
- 🌟 我们有积极的心态
🔍 想了解我们正在做什么吗？查看我们的案例研究，并深入阅读我们的博客文章，了解更多关于我们的文化和我们正在进行的令人兴奋的项目！ 🚀
职责 🤓
- 为风险模型设计交易和信用行为特征（频率、最近性、金额、数字参与度、违约）。
- 以完整的标准元数据（描述、主键/外键、血缘关系、负责人、标签、数据生命周期、时效性）实现特征，并采用 D1/D2 设计以最大化复用。
- 遵循部署流程
查看英文原文
🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.
This opportunity is with a leading multinational beverage company based in Mexico City.
We are looking for a Data & ML Engineer Semi Senior — Feature Engineering to join our team 🐶🚀. You'll build and govern the features that power our Credit Score financial model, ensuring reliable, reusable, and auditable signals as the raw material for credit risk — under the AI Factory Feature Store standard.
This role works closely with modeling and platform teams, turning transactional and credit behavior data into trustworthy, well-governed features. Attention to detail, strong data governance instincts, and a reuse-first mindset are essential to succeed in this fast-paced, collaborative environment.
🚀 What We Do
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
🌟 Our Values
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀
Responsibilities 🤓
- Design transactional and credit behavior features (frequency, recency, amount, digital engagement, delinquency) for the risk model.
- Implement features with complete standard metadata (description, PKs/FKs, lineage, owner, tags, data lifecycle, temporality) and D1/D2 design to maximize reuse.
- Follow the deployment pipeline (bundle validation → DDLs → PRD), job monitoring, and FinOps practices.
- Ensure consistency between training and production as the model's single source of truth.
Required Skills
- Experience in feature engineering / data engineering on Databricks + Unity Catalog.
- Advanced SQL and Python; data governance, lineage, and quality (DQX).
- Familiarity with naming conventions and metadata standards.
Nice to Have Skills 😉
- Feature Store certification (Fundamentals / Expert) and experience with financial data.
- Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP).
🎁 Perks
- 🌍 Remote-first culture – work from anywhere!
- 🚀 In-Company English Lessons.
- 💪 Wellhub or sports club stipend to stay active
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🍕 Food credits via Pedidos Ya – because great work deserves great food.
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too