资深机器学习工程师 - Databricks
Senior Machine Learning Engineer - 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。
这个职位是与位于墨西哥城的一家领先的跨国饮料公司合作的。
我们正在寻找一位高级机器学习工程师/MLOps工程师加入我们的团队 🐶🚀 。你将负责我们AI工厂产品的部署、作业配置以及端到端的运营，确保整个流程——从数据生成到结果发布到运营——在不同国家都能可靠、可观测且可扩展地运行。
此职位与开发小组和平台团队紧密合作，诊断运行时事件，并保持跨环境的生产流水线健康。在快节奏、协作的环境中成功，需要强大的责任感、操作严谨性和端到端的产品知识。
🚀 我们所做的
- 借助我们的专业知识，我们为需求规划和预算预测构建现代机器学习系统。
- 开发可扩展的数据基础设施，我们提升高层决策，针对每个客户进行定制。
- 提供全面的数据工程和定制AI解决方案，我们优化基于云的系统。
- 使用生成式AI，我们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，我们增强视觉识别和自动化，适用于各种行业，提高产品分类、质量控制和信息检索。
- 开发推荐模型，我们在电商、流媒体和数字平台上个性化用户体验，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
- 📊 我们是数据极客
- 🤗 我们是开放的团队合作者
- 🚀 我们承担责任
- 🌟 我们有积极的心态
🔍 对我们正在做什么感到好奇吗？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和我们正在开展的令人兴奋的项目！ 🚀
职责 🤓
- 在 Databricks Jobs 上编排生产流水线，通过 depends_on 链接任务并管理失败模式（ALL_SUCCESS / ALL_DONE）
- 通过 Databricks Asset Bundles (DABs) 配置和维护部署，将资源/部署文件从开发 → 质量保证 → 生产环境进行推广
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 Machine Learning Engineer Senior/MLOps Engineer Senior to join our team 🐶🚀 . You'll own the deployment, job configuration, and end-to-end operation of our AI Factory products, making sure the full pipeline — from data generation to publishing results to operations — runs reliably, observably, and scalably across countries.
This role works closely with development squads and platform teams, diagnosing runtime incidents and keeping production pipelines healthy across environments. Strong ownership, operational rigor, and end-to-end product knowledge 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 🤓
- Orchestrate production pipelines on Databricks Jobs, chaining tasks via depends_on and managing failure modes (ALL_SUCCESS / ALL_DONE)
- Configure and maintain deployments via Databricks Asset Bundles (DABs), promoting across dev → qa → prd targets, with resource/deployment files per country.
- Manage the lifecycle of models and artifacts in MLflow + Unity Catalog (registration, versioning, Champion/Challenger aliases, rollback).
- Ensure operational continuity: manage compute across workspaces, standardize cost-monitoring tags (FinOps), and integrate with AIOps/observability.
- Master the product end-to-end to diagnose runtime incidents and coordinate with development squads.
Required Skills 🚀
- Proven experience orchestrating data/ML pipelines on Databricks (Jobs, Workflows, cluster policies).
- Solid CI/CD experience (Azure DevOps, gitflow, PRs), IaC with DABs, and code quality standards (black, isort, mypy).
- Advanced Python, SQL, Delta / Unity Catalog.
Nice to Have Skills 😉
- Experience with multi-country schemas, drift/cost monitoring, and deployment automation.
- 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
- 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!