Senior Machine Learning Engineer at Caylent

Setup: Remote - Brazil
Type: Full-time
Level: Senior
Posted: Nov 10, 2025

Description

Caylent is seeking a Senior Machine Learning Engineer to design and document machine learning solutions on the AWS cloud for customers. The role involves developing and implementing ML models, MLOps, and analytics, as well as big data processing and preparation of training data. The successful candidate will work as part of a cross-functional delivery team, participate in daily standups and agile ceremonies, and receive weekly 1:1 career guidance. This is a fully remote position within a global company that values diversity and technological curiosity. Note that this is not an active role but an opportunity to join a talent community for future openings.

Required Skills

Machine Learning
AWS
MLOps
Big Data
Python
Spark
Tensorflow
PyTorch
Scikit-learn
SQL

Additional Information

Required Previous Experiences: 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
Preferred Qualifications: Experience in visualization using SageMaker, ggplot, matplotlib, or seaborn
Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
Excellent written and verbal communication skills