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

- **Company:** Caylent, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Airflow, Amazon Web Services, Data Analysis, Big Data, Apache Hadoop, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, Azure Machine Learning, Scala (Programming Language), Data Processing, Pytorch, Apache Spark, Deep Learning, Keras, Cloudformation, Pandas, Matplotlib, Pyspark, Scikit Learn, Kubernetes, Machine Learning Operations, Terraform
- **Published:** September 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/phpyfyuejg

## About the Role

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

## Description

At Caylent, a Senior Machine Learning Engineer works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers. We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference. You will develop solutions designed by an architect.

You will participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer. Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent.

Your Assignments

 * Work with a team to deliver machine learning solutions on AWS for customers
 * Participate in and contribute to daily standup meetings
 * Develop and implement ML models, MLOps, and analytics
 * Big data processing and preparation of training data for models


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