#2 - Senior Machine Learning Engineer - Databricks

Openkrill; United States; Remote; USD 130,000 - 190,000; Full time

Benefits offered by this job

Remote-first culture

Certifications covered

Birthday off

Extra vacation week

Referral bonuses

Maslow credits

Mutters' Trip

Job summary

Muttdata, a remote-first data science startup, is seeking a Senior Machine Learning Engineer to own deployment, job configuration, and end-to-end operation of AI Factory products. You will ensure reliable, observable, and scalable pipelines across countries, working closely with development squads and platform teams.

We value strong ownership, operational rigor, and deep product knowledge as you diagnose runtime incidents and keep production pipelines healthy in a fast-paced, collaborative

Qualifications

• 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.
• Experience with multi-country schemas, drift/cost monitoring, and deployment automation.
• Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework).
• Currently based in Mexico or a location within a similar time zone, allowing for strong overlap with Mexico working hours.

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.

Skills

Databricks Jobs

Workflows

Cluster Policies

CI/CD

IaC

Python

SQL

Delta Lake

Unity Catalog

Tools

Databricks Asset Bundles (DABs)

MLflow

Job description

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, m ypy).
• 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!