Senior Machine Learning Engineer at Caylent

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

Description

Caylent is a cloud-native services company specializing in Amazon Web Services (AWS) that is seeking a Senior Machine Learning Engineer. This role involves designing and documenting machine learning solutions on the AWS cloud for customers as part of a cross-functional delivery team. The position is fully remote and requires strong experience in building ML models, MLOps, big data processing, and various ML tools and libraries.

Required Skills

ML Models
MLOps
AWS
Tensorflow
PyTorch
Spark
Python
SQL
CloudFormation
Terraform

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
Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
Preferred Qualifications: 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
Excellent written and verbal communication skills