Senior Machine Learning Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 20%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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, promoting across dev, QA, and production targets with resource/deployment files per country • Manage model and artifact lifecycles in MLflow and Unity Catalog, including registration, versioning, Champion/Challenger aliases, and rollback • Manage compute across workspaces and standardize cost-monitoring tags for FinOps • Integrate with AIOps and observability systems • Diagnose runtime incidents and coordinate with development squads • Keep production pipelines healthy, reliable, observable, and scalable across environments and countries

🎯 Requirements

• Proven experience orchestrating data/ML pipelines on Databricks (Jobs, Workflows, cluster policies) • Solid CI/CD experience with Azure DevOps, gitflow, and PRs • Infrastructure as code with Databricks Asset Bundles (DABs) • Code quality standards including black, isort, and mypy • Advanced Python • Advanced SQL • Delta / Unity Catalog knowledge • Experience with multi-country schemas, drift/cost monitoring, and deployment automation • Experience developing AI agents or agentic infrastructure, such as Mosaic AI Agent Framework, agent orchestration, or MCP (nice to have) • Currently based in Mexico or a similar time zone for overlap with Mexico working hours (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