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Open nowPosted 54 days ago

Senior AI ML Engineer - Databricks - #2

muttdata29 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowSenior AI ML Engineer - Databricks - #2muttdata · Remote

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  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 54 days ago

The posting

🚀 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

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!
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