AI/ML Engineering Manager

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🔥 7 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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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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

• Lead and grow a team of ML engineers and architects • Hire team members, set technical standards, oversee technical assessments, and make hiring decisions • Conduct structured 1:1s, provide feedback, and invest in team members' career growth • Manage performance, recognize strong contributors, address performance gaps, and partner with HRBPs and the Director of AI/ML when needed • Monitor staffing and utilization across engagements and communicate skills evolution and preferences to the staffing team • Lead end-to-end ML assessments of customer environments and produce recommendations for executive decisions and future engagements • Serve as senior technical authority on customer engagements, shape architecture, ensure technical quality, and make key tradeoff decisions • Advise customers on MLOps, LLMOps, production monitoring, and sustainable ML systems • Partner with sales and solutions teams on scoping and proposals to support pre-sales • Drive architecture and solution design from kickoff through delivery, unblock teams, and ensure Caylent quality standards • Own architect-level client outcomes or provide senior technical oversight across engagement teams • Mentor engineers and architects, contribute to technical interviews, and build reference architectures and reusable ML accelerators • Report to the Director of AI/ML • Role 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, with the 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 — whether classical ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape • Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards that engineering teams can execute and executives can act on • Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization, and distributed training — combined 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 — navigating competing priorities, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences • Current legal authorization to work in Mexico; Caylent is not able to sponsor visa or work permit applications • AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional are strong differentiators, not requirements • Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements is a strong differentiator • Exposure to varied industries and problem types in a consulting or client-facing context is a strong differentiator • Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — is a strong differentiator • Fluency in AIOps patterns — designing agentic workflows for anomaly detection, automated root cause analysis, and remediation across observability platforms — is a strong differentiator • Expected to prescribe across a broad technical stack including AWS ML services, multi-provider LLM APIs, data platforms, vector databases, ML frameworks, MLOps and governance tools, LLM evaluation and safety tools, and inference optimization technologies

🏖️ Benefits

• 100% remote work • Medical Insurance for you and eligible dependents • 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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