Senior Machine Learning Engineer - Not an Active Opening, Building Talent Pipeline

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
Reposted: No
Salary listed: No
Ghost-job risk at Caylent: high
Hiring momentum: 143 roles opened in the last 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

The Senior Machine Learning Engineer at Caylent will work within a cross-functional team to design and document machine learning solutions on the AWS cloud for clients. Responsibilities include developing ML models, participating in agile ceremonies, and preparing training data while ensuring alignment with business goals. This role is focused on building a talent pipeline for future opportunities rather than an immediate opening.

Our read on this posting2.8out of 5

benefits: 5/5
freshness: 1/5
career value: 4/5
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

Strong experience in building ML models for real world applications
Strong experience in at least one of these: AWS ML Services/SageMaker, ML libraries like Keras, Tensorflow, PyTorch, Scikit-learn, MLOps tools such as MLflow, Kubeflow, Airflow
Advanced analytics using time series forecasting and/or inferential statistics
Strong experience in one or more of these data processing solutions: Big data processing platforms like Spark, Hadoop, or streaming platforms, Data processing and cleansing using Python/Pandas, PySpark, Scala, SQL
Strong understanding of feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functions
Experience in visualization using SageMaker, ggplot, matplotlib, or seaborn

What you get

100% remote work
Generous holidays and flexible PTO
Paid for exams and certifications
Peer bonus awards
State of the art laptop and tools
Equipment & Office Stipend

Worth weighing

This is not an active role right now; it is for building a talent pipeline for future openings.
The position requires current legal authorization to work in Brazil; no visa sponsorship is available.
The 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.

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