AI/ML Engineering Manager

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🔥 7 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 15%

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Caylent

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

📣 Marketing

💰 Private Equity Round on 2022-11

Consulting • Logistics • Marketing

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using AWS. As a premier AWS consulting partner, Caylent specializes in DevOps-as-a-Service, IaaS, DevOps, SaaS, and various cloud technologies including Amazon Web Services and Google Cloud Platform. The company focuses on empowering organizations through technology to thrive in a software-defined world and drive innovation.

📋 Description

• Report to the Director of AI/ML • Hire and build the ML team; set the technical bar, oversee technical assessments, and make hiring decisions • Develop people through structured 1:1s, candid feedback, and career growth investment • Manage performance and partner with HRBPs and the Director of AI/ML when needed • Monitor staffing, utilization, skills evolution, and engagement assignments • Lead end-to-end ML assessments covering infrastructure, data pipelines, model lifecycle, and organizational readiness • Produce recommendations that drive executive decisions and future engagements • Serve as senior technical authority, shape architecture, set technical direction, and ensure technical quality • Advise customers on sustainable MLOps, LLMOps, and production monitoring standards • Partner with sales and solutions teams on scoping and proposals • Lead customer engagements from kickoff through delivery • Unblock teams on complex technical problems and ensure Caylent quality standards • Own architect-level client outcomes or provide senior technical oversight • Mentor engineers and architects, contribute to technical interviews, and build reference architectures and ML accelerators • May require up to 25% travel depending on business needs

🎯 Requirements

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity • Demonstrated people management experience — hiring, performance calibration, career development, and the ability to have difficult conversations directly and constructively • Deep, current knowledge of the AWS ML and GenAI ecosystem • Ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring • Deep expertise in at least two or three ML domains, such as classical ML, computer vision, NLP, or time series • Proven ability to architect and govern production ML systems end-to-end • Experience with MLOps, LLMOps, and broader AI operations • Deep expertise in foundation model adaptation: fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization, and distributed training • Experience with RAG and agentic system design, including multi-agent architectures, MCP integration, and human-in-the-loop patterns on AWS • Proven ability to operate independently in complex, ambiguous customer environments • AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional (strong differentiators) • Experience shaping practice-level standards, reference architectures, and reusable ML accelerators (strong differentiator) • Exposure to varied industries and problem types in a consulting or client-facing context (strong differentiator) • Fluency in responsible AI practices, including model evaluation, bias detection, fairness frameworks, and AI governance (strong differentiator) • Fluency in AIOps patterns (strong differentiator) • Current legal authorization to work in Argentina; Caylent is not able to sponsor visa or work permit applications

🏖️ Benefits

• Pay in USD • 100% remote work • Generous holidays and flexible PTO • Competitive phantom equity • Paid for exams and certifications • Peer bonus awards • State of the art laptop and tools • Equipment & Office Stipend • Individual professional development plan • Annual stipend for Learning and Development • Work with an amazing worldwide team and in an incredible corporate culture

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