Senior MLOps Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 18%

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

• Industrialize, deploy, and scale Machine Learning models into production environments. • Design and maintain training, inference, and retraining pipelines end-to-end. • Build and maintain CI/CD pipelines for ML workflows, ensuring smooth and reliable releases. • Implement and manage model tracking, versioning, and registry using MLflow. • Develop and expose APIs for model serving, ensuring performance and scalability. • Orchestrate workflows and jobs on Databricks (Workflows, Jobs, Repos). • Containerize ML applications with Docker and support deployment on Kubernetes-based infrastructure. • Implement model governance and versioning practices to ensure traceability across the ML lifecycle. • Collaborate closely with Data Scientists, Data Engineers, and business stakeholders to align technical solutions with business needs. • Promote MLOps best practices and modern ML architecture across the team.

🎯 Requirements

• Advanced Python and SQL. • Experience with Spark / PySpark. • Solid experience with CI/CD pipelines and Git. • Experience with MLflow (tracking, registry, and deployment). • Experience with Docker and working knowledge of Kubernetes concepts. • Experience with Azure Cloud. • Experience implementing model monitoring and observability practices. • Strong understanding of MLOps and ML architecture principles. • Experience deploying models to production at scale. • Hands-on experience with Databricks (Workflows, Jobs, Repos) preferred as a nice-to-have skill. • Experience with other cloud providers (AWS, GCP) preferred as a nice-to-have skill. • Experience with Kubernetes in production environments preferred as a nice-to-have skill.

🏖️ Benefits

• Remote-first culture – work from anywhere! • In-Company English Lessons. • Wellhub or sports club stipend to stay active • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered • Food credits via Pedidos Ya • Birthday off + an extra vacation week (Mutt Week! 🏖️) • Referral bonuses • Annual Mutters' Trip • Monthly Childcare Reimbursement