岗位大厅/Engineering/Senior Machine Learning Engineer - Databricks - #2

Mutt Data · 34天前 · 来源 Himalayas

Senior Machine Learning Engineer - Databricks - #2

Mexico远程办公
全职Engineering
薪资未披露

🛡 岗位真实性核验

Ghost Job 检测

🔒 公司官网拦截自动核验——不代表岗位失效,请直接访问申请页

信号由后台自动核验生成,仅供参考;判断权在你。设计案:GHOST-JOB-P1

🤖 AI 中文导读 · 由岗位 JD 原文生成

🚀 加入我们的远程数据产品机器学习初创公司!🚀 在Muttdata,我们构建创新的数据产品和机器学习解决方案,帮助企业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。此机会来自一家总部位于墨西哥城的领先跨国饮料公司。我们正在寻找一名高级机器学习工程师加入我们的团队🐶🚀。你将负责我们AI Fact……

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必备技能

AIAWSAgentic AIAutomationAzureAzure DevOpsCI/CDCloudData EngineeringDatabricks

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

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职位描述 · 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 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). Currently based in Mexico or a location within a similar time zone, allowing for strong overlap with Mexico working hours. 🎁 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! Originally posted on Himalayas

🈯 翻译这份 JD · 红灯 0 / 黄灯 1 / 绿灯 1点开 ▾
可以投——没有红灯,黄灯问题放进面试清单问清即可。
fast-paced → 流程不成熟、需求常变要问的问题:「节奏快」的交付周期是多久?需求由谁定?
nice to have → 加分项,不是门槛
词典只标"常见信号",不对公司下结论——红灯 = 面试里该当面确认的问题。想自己翻别的 JD:JD 翻译器 →
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公司 · Company

Mutt Data

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Mexico来源:Himalayas

⚑ 岗位信息收录自公开招聘页(Himalayas),以雇主官网为准