Senior Machine Learning, AI Engineer

Job not on LinkedIn

🔥 1 hour ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🤖 AI 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

• Serve as a primary technical consultant, leading and executing end-to-end AI/ML project implementations directly with clients • Translate complex business problems into robust technical solutions • Present technical findings, proposals, and project status to technical and non-technical audiences • Design, build, and maintain production-grade AI/ML pipelines with CI/CD and advanced MLOps/AIOps practices • Implement and optimize Generative and Agentic AI applications, including multi-agent orchestration, agent evaluation, and RAG systems • Architect end-to-end traditional Machine Learning and Generative AI solutions based on customer requirements • Manage production deployment infrastructure using Docker, pipeline orchestrators, and lakehouse databases such as Databricks • Leverage distributed computing frameworks such as Apache Spark for scalable machine learning and high-performance data processing • Contribute to strategic growth of the AI FDE Practice through technical assignments and knowledge transfer • Document and report client engagements and training activities via designated partner platforms

🎯 Requirements

• 4+ years of hands-on professional experience developing, deploying, and managing Generative/Agentic AI or Machine Learning systems, with mandatory experience productionizing and maintaining models in a live environment • 3+ years of experience in a customer-facing consulting or solutions architect role focused on technical implementation and delivery • Excellent verbal and written communication skills • Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices • Experience with infrastructure management, including containerization with Docker and data pipeline orchestration • Expertise in Python for data-intensive and scalable AI/ML applications • Demonstrated commitment to continuous learning in emerging AI/ML fields

🏖️ Benefits

• Remote-first culture – work from anywhere • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered • In-Company English Lessons • Birthday off + an extra vacation week (Mutt Week!) • Referral bonuses • Maslow: Monthly credits to spend in our benefits marketplace • Annual Mutters' Trip • Monthly Childcare Reimbursement