Senior Machine Learning Engineer at Caylent

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

Description

Caylent is a cloud native services company specializing in Amazon Web Services (AWS), offering a full range of services from workload migrations to DevOps and data engineering. They operate as a fully remote global company with a strong focus on employee well-being and a culture of technological curiosity. This particular opening is for a Senior Machine Learning Engineer to design and document ML solutions on the AWS cloud for customers, working within a cross-functional delivery team.

Required Skills

ML Models
MLOps
AWS ML Services
SageMaker
Keras
Tensorflow
PyTorch
Scikit-learn
MLflow
Kubeflow
Airflow
Time series forecasting
Inferential statistics
Spark
Hadoop
Python
Pandas
PySpark
Scala
SQL
CloudFormation
Amazon CDK
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 in visualization using SageMaker, ggplot, matplotlib, or seaborn
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
Excellent written and verbal communication skills