Senior Machine Learning Engineer – Databricks

Job not on LinkedIn

🔥 1 minute ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MUTT DATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🛡️ Insurance

📦 Logistics

Marketing • Insurance • Logistics

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• 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, including registration, versioning, Champion/Challenger aliases, and rollback • Manage compute across workspaces • Standardize cost-monitoring tags (FinOps) • Integrate with AIOps/observability • Master the product end-to-end to diagnose runtime incidents • Coordinate with development squads and platform teams • Keep production pipelines healthy across environments

🎯 Requirements

• Proven experience orchestrating data/ML pipelines on Databricks (Jobs, Workflows, cluster policies) • Solid CI/CD experience (Azure DevOps, gitflow, PRs) • Infrastructure as code with Databricks Asset Bundles (DABs) • Code quality standards: black, isort, mypy • Advanced Python, SQL, Delta / Unity Catalog • Experience working with Large Language Models (LLMs) is nice to have • Knowledge of AI agents and agentic systems is nice to have • Familiarity with MLOps practices and tools is nice to have • Experience deploying and maintaining Data Science and AI solutions in production environments is nice to have • Knowledge of job orchestration, computing infrastructure, deployments, monitoring, and maintenance is nice to have • Experience working with event data, user tracking, and application tagging is nice to have • Ability to collaborate effectively with Product, Engineering, and Business teams is nice to have

🏖️ Benefits

• 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 • Maslow: Monthly credits to spend in our benefits marketplace • Annual Mutters' Trip – an unforgettable getaway with the team