#3 - Senior Machine Learning Engineer - Databricks
加入我们的远程数据产品和机器学习初创公司！在 Muttdata,我们开发出创新的数据产品与机器学习解决方案，帮助企业解决复杂的商业挑战。作为一个快速增长的远程第一家初创公司，我们热衷于技术，合作和持续学习。这个机会是位于墨西哥城的一家领先的跨国饮料公司。我们正在寻找一名机器学习工程师高级将加入我们的团队。你将拥有我们 AI 工厂产品的部署，工作配置和端到端运营，确保从数据生成到发布结果到运营的整个管道在各个国家之间可靠，可观察和可扩展。这个角色与开发队员和平台团队密切合作，诊断运行时间事件并保持生产管道健康在不同环境中。强大的所有权，操作严格性和最终产品知识是成功的必不可少的。在这种快速发展的协作环境中。· 开发可扩展的数据基础设施，我们增强了针对每个客户的高层次决策。·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。· 使用生成人工智能，我们帮助电子商务平台和零售商更快地创建高质量的广告。·建立深度学习模型，我们提高了各种行业的视觉识别和自动化，改善产品分类，质量控制和信息检索。· 制定推模式，我们个性化用户体验在电子商务，流媒体和数字平台，推动参与和转换。·数据 我们的价值观 · 我们是数据狂人 · 🤗我们是开放团队玩家 · 我们拥有权力 · 我们对我们的业务有积极的心态 🔍好奇？查看我们的案例研究，深入了解我们的博客文章来了解更多关于我们的文化和令人兴奋的项目！责任 · 在 Databricks Jobs 上编排生产管道，通过 depend_on 和管理失败模式 (ALL_SUCCESS / ALL_DONE) 进行任务配置和维护部署。
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 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 😉
- Experience working with Large Language Models (LLMs).
- Knowledge of AI agents and agentic systems.
- Familiarity with MLOps practices and tools.
- Experience deploying and maintaining Data Science and AI solutions in production environments.
- Knowledge of job orchestration, computing infrastructure, deployments, monitoring, and maintenance.
- Experience working with event data, user tracking, and application tagging.
- Ability to collaborate effectively with Product, Engineering, and Business teams.
🎁 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!