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
- No 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, advising on ML operations, and driving pre-sales efforts. You will also shape architecture and ensure the technical quality of engagements, all while maintaining a hands-on role in delivering solutions.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
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
- Demonstrated people management experience including hiring and performance calibration
- Deep knowledge of the AWS ML and GenAI ecosystem
- Expertise in at least two or three ML domains such as classical ML, computer vision, or NLP
- Proven ability to architect and govern production ML systems end-to-end
- Expertise in foundation model adaptation and agentic system design
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 in a consulting context
- Fluency in responsible AI practices
- Fluency in AIOps patterns
What you get
- Pay in USD
- 100% remote work
- Generous holidays and flexible PTO
- Competitive phantom equity
- Paid for exams and certifications
- Peer bonus awards
Worth weighing
- Role requires up to 25% travel depending on business needs
- No salary listed
- Position requires current legal authorization to work in the country
- Caylent cannot sponsor visa or work permit applications
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.
More roles at Caylent
- Forward Deployed Product ManagerCanada
- Forward Deployed Product ManagerUnited States
- AI/ML Engineering ManagerBRAZIL
- Machine Learning Architect - Not an Active Opening, Building Talent PipelineBRAZIL
- Customer Solutions Architect, Amazon ConnectCANADA
- Senior EngineerCANADA
- Machine Learning Architect - Not an Active Opening, Building Talent PipelineCANADA
- Machine Learning Architect - Not an Active Opening, Building Talent PipelineARGENTINA