Machine Learning Architect - Not an Active Opening, Building Talent Pipeline
Caylent · BRAZIL
Posted about 3 months ago
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 a Machine Learning Architect at Caylent, you will collaborate with engineers and project managers to design and implement AWS solutions for clients. Your role includes guiding Agile ceremonies, translating customer requirements into actionable tasks, and overseeing the development of cloud-native applications. You will also mentor team members and ensure high-quality code and effective communication throughout the project lifecycle.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 4/5
- 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
- Deep expertise in ML system design
- Experience with IaC tools (CloudFormation, CDK, Terraform)
- Expert level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch, Scikit-learn)
- Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimization strategies
- Familiarity with MLOps tools (MLflow, Neptune, Comet)
- Ability to troubleshoot and resolve issues in customer environments
What you get
- 100% remote work
- Generous holidays and flexible PTO
- Competitive phantom equity
- Paid for exams and certifications
- Peer bonus awards
- State of the art laptop and tools
Worth weighing
- This position requires current legal authorization to work in Brazil; no visa sponsorship available.
- Role may require up to 25% travel depending on business needs.
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
- 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
- Senior Forward Deployed EngineerUSA