Senior ML Engineer — End-to-End MLOps, Remote

Muttdata; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-first culture

AWS, DBT, Google Cloud, Azure & Databr

Birthday off + an extra vacation week

Referral bonuses

Maslow: Monthly credits to spend in我们的

Job summary

Muttdata, a remote-first data products and ML startup, seeks a Senior Machine Learning Engineer to own deployment, job configuration, and end-to-end operation of AI Factory products across countries. You’ll work with Databricks, MLflow, and Unity Catalog, ensuring reliable pipelines and scalable deployments while collaborating closely with platform teams.

We value ownership, observability, and practical product knowledge in a fast-paced environment, with strong overlap across time zones and a

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.

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 orchestration

CI/CD & IaC

Python & SQL

Delta / Unity Catalog

Tools

Azure DevOps

Gitflow

Databricks Asset Bundles (DABs)

Job description

Muttdata, a remote-first data products and ML startup, seeks a Senior Machine Learning Engineer to own deployment, job configuration, and end-to-end operation of AI Factory products across countries. You’ll work with Databricks, MLflow, and Unity Catalog, ensuring reliable pipelines and scalable deployments while collaborating closely with platform teams.

We value ownership, observability, and practical product knowledge in a fast-paced environment, with strong overlap across time zones and a