or apply directly on Caylent's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 82 days Caylent's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 13% of Caylent's roles list one
- Ghost-job risk at Caylent
- high 88 stale, 12 reposted of 88 open
- Hiring momentum
- 143 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Caylent's own greenhouse board since 2026-08-03. Full hiring picture for Caylent.
About this role
As an AI/ML Engineering Manager at Caylent, you will lead a team of ML engineers and architects while engaging directly with customers on complex projects. Your responsibilities include hiring and developing team members, managing performance, shaping architecture for ML systems, and driving pre-sales efforts. This role combines technical leadership with people management, requiring a balance of hands-on delivery and strategic advisory.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Caylent as an employer.
What you need
- 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 including hiring, performance calibration, and career development
- Deep, current knowledge of the AWS ML and GenAI ecosystem
- 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
- Deep expertise across foundation model adaptation and agentic system design on AWS
Nice to have
- AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional
- Experience shaping practice-level standards and reusable ML accelerators
- Exposure to varied industries and problem types in a consulting context
- Deep fluency in responsible AI practices
- Fluency in AIOps patterns
What you get
- 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
Worth weighing
- Base salary range is CAD $152,000 - $234,000, which may vary based on experience and qualifications
- Position requires current legal authorization to work in Canada; no visa sponsorship available
- Role involves both technical and managerial responsibilities, which may be demanding for some candidates
Summarised from Caylent's posting. Read the full original.
Listed by Caylent on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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