Senior AI ML Engineer - Databricks - #2

🚀 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!