AI/ML Engineering Manager

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🔥 7 minutes ago

🇧🇷 Brazil – 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

• Hire and build the ML team, set technical standards, oversee technical assessments, and make hiring decisions. • Conduct structured 1:1s, provide feedback, and support team members’ career growth. • Manage performance, partner with HRBPs and the Director of AI/ML, and advocate for the team. • Monitor staffing and ensure team members are appropriately placed across engagements. • Lead end-to-end ML assessments of customer environments and produce executive recommendations. • Shape engagement architecture and serve as senior technical authority. • Advise customers on MLOps, LLMOps, production monitoring, and sustainable ML systems. • Partner with sales and solutions teams on scoping and proposals. • Lead architecture and solution design from kickoff through delivery. • Own architect-level client outcomes or provide senior technical oversight. • Mentor engineers and architects, contribute to technical interviews, and develop reference architectures and reusable ML accelerators.

🎯 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 Brazil; Caylent cannot sponsor visa or work permit applications. • Up to 25% travel may be required depending on business needs.

🏖️ Benefits

• 100% remote work • Flexible Time Off • 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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