AI/ML Engineering Manager

Job not on LinkedIn

🔥 7 minutes ago

🇨🇦 Canada – Remote

💵 $152k - $234k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 0%

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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. • Develop team members through structured 1:1s, feedback, and career growth investment. • Manage performance, partner with HRBPs and the Director of AI/ML, and advocate for the team. • Monitor staffing and ensure team members are placed in appropriately challenging engagements. • Lead end-to-end ML assessments of customer environments and produce executive recommendations. • Serve as senior technical authority, shape architecture, and ensure technical quality on engagements. • Advise customers on sustainable MLOps, LLMOps, production monitoring, and ML operations standards. • Drive pre-sales with sales and solutions teams during scoping and proposal phases. • Lead engagement architecture and solution design from kickoff through delivery. • Own architect-level client outcomes or provide senior technical oversight across the team. • Mentor engineers and architects, contribute to technical interviews, and build reference architectures and reusable ML accelerators. • Report to the Director of AI/ML.

🎯 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 the country where the position is located; Caylent cannot sponsor visa or work permit applications. • AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional are strong differentiators. • 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 and AIOps patterns is a strong differentiator.

🏖️ 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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