资深人工智能与机器学习工程师 - Databricks
Senior AI ML 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初创公司，我们对技术、协作和持续学习充满热情。
此次机会是与位于墨西哥城的领先跨国饮料公司合作。
我们正在寻找一位富有创新精神的高级AI ML工程师加入我们的团队 🐶🚀。你将为 Model Factory Lab（MFL）社区构建一个AI代理，该代理可将自然语言提示转换为完全实例化的模型——在“模型即YAML”的范式下协调可重用的目录组件。
此职位将与 MFL 平台团队紧密合作，结合代理开发与对模型打包和可重用、受控组件的深入理解。在此快节奏、协作的环境中，强大的技术创造力和产品思维是成功的关键。
🚀 我们所做的
- 借助我们的专业知识，我们为需求计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，我们提升高层决策能力，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更高质量的广告。
- 构建深度学习模型，我们在各个行业中增强视觉识别和自动化，提高产品分类、质量控制和信息检索。
- 开发推荐模型，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
- 📊 我们是数据狂热者
- 🤗 我们是开放的团队合作者
- 🚀 我们承担责任
- 🌟 我们保持积极心态
🔍 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以及我们正在开展的令人兴奋的项目！🚀
职责 🤓
- 设计并构建能够将自然语言转换为可训练组件（train/predict/evaluate）组合的代理，遵循 MFL 开发框架（PyFunc / 自定义 flavor 作为标准）。
- 在 YAML 中实现模型的声明式配置（config.yaml, features.yaml, databricks.yml），遵守 MFL 的最小库骨架
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 innovative Senior AI ML Engineer to join our team 🐶🚀. You'll build an AI agent for the Model Factory Lab (MFL) community that turns a natural-language prompt into a fully instantiated model — orchestrating reusable catalog components under the “model as a YAML” paradigm.
This role works closely with the MFL platform team, combining agent development with a deep understanding of model packaging and reusable, governed components. Strong technical creativity and a product 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 build the agent that translates natural language into a composition of trainable components (train/predict/evaluate), following the MFL development framework (PyFunc / custom flavor as standard).
- Implement the model's declarative configuration in YAML (config.yaml, features.yaml, databricks.yml), respecting the MFL's minimum library skeleton.
- Integrate the agent with Feature Store, MLflow, and model orchestration to assemble governed, reusable components.
- Apply production-grade agentic patterns on Databricks (Mosaic AI Agent Framework, Agent Bricks, MCP Servers, evaluation with MLflow 3.0).
Required Skills 💻
- Experience developing AI agents, ideally on Databricks (Mosaic AI, LangGraph / OpenAI SDK, Genie, Vector Search).
- Strong command of MLflow (tracking, registry, pyfunc / custom flavor), Unity Catalog, and advanced Python.
- Understanding of component-orchestration architectures and model packaging.
- Experience with MCP, RAG, agent evaluation, and model governance standards.
- Broader experience developing AI agents / agentic infrastructure (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!