出海雷达

AI 工程师 Databricks - 墨西哥

AI Engineer Databricks - Mexico

AI开发工程职能支持限定地区(需当地身份)
公司Mutt Data
薪资未公开
工作地点Mexico
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型Remote - Latam
发布时间未知
数据来源Lever
前往企业招聘页投递 →
注意地域限制:该职位明确限定在 Mexico 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

🚀 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AI工程师加入我们的团队,为一家位于墨西哥的大型跨国饮料公司开展高影响力项目 🐶🚀。

在这个职位中,你将构建和管理可扩展的机器学习解决方案,确保结果可靠、可重用且可审计。你将与跨职能团队紧密合作,将复杂的业务数据转化为值得信赖、良好治理的AI产品。注重细节、具备强大的数据治理意识,并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。

🚀 我们所做的

  • 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能力,提高产品分类、质量控制和信息检索效果。
  • 开发推荐模型,在电商、流媒体和数字平台中个性化用户体验,提升参与度和转化率。

🌟 我们的合作伙伴

  • Amazon Web Services
  • 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
  • 🌟 我们保持积极心态

🔍 想了解我们在做什么吗?查看我们的案例研究,深入阅读我们的博客文章,了解更多关于我们的文化以及我们正在开展的令人兴奋的项目! 🚀

职责 🤓

  • 在 Databricks 上设计和构建强大的机器学习特征,为各种AI模型提供支持并解决复杂的业务挑战。
  • 以完整的标准元数据(描述、键、血缘关系、所有权、标签、数据生命周期)实现功能,并采用可扩展的设计模式,以最大化组织内的可重用性。
  • 遵循稳健的部署流程(CI/CD、打包)
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 an AI Engineer to join our team and work on high-impact projects for a major multinational beverage company based in Mexico 🐶🚀.

In this role, you will build and govern scalable machine learning solutions, ensuring reliable, reusable, and auditable outcomes. You will work closely with cross-functional teams, turning complex business data into trustworthy, well-governed AI products. 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 and engineer robust machine learning features on Databricks to power various AI models and solve complex business challenges.
  • Implement features with complete standard metadata (description, keys, lineage, ownership, tags, data lifecycle) and scalable design patterns to maximize reusability across the organization.
  • Follow robust deployment pipelines (CI/CD, bundle validation, PRD), oversee job monitoring, and apply FinOps practices to ensure efficient cloud resource usage within the Databricks ecosystem.
  • Ensure strict consistency between training and production environments, maintaining a single source of truth for all ML models.

Required Skills

  • Proven hands-on experience in feature engineering, data engineering, and deploying AI models specifically using Databricks and Unity Catalog.
  • Advanced proficiency in SQL and Python; strong background in data governance, data lineage, and data quality frameworks.
  • Deep familiarity with naming conventions, metadata standards, and scalable data architecture best practices.

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! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team.
  • 👶 Monthly Childcare Reimbursement  – Because supporting families matters too
本页面信息整理自 Lever,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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