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

Caylent; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

100% remote work

Medical Insurance for you and depend

Flexible PTO

Phantom equity

Exam & certification support

Equpment stipend

Professional development plan

Learning stipend

Global team culture

Job summary

Caylent is a cloud-native services company delivering AWS-based ML solutions. The Senior Machine Learning Engineer collaborates with cross-functional teams to design, train, and deploy ML models on AWS, focusing on feature design, model metadata, and scalable inference.

Regular standups and client-facing agile ceremonies are part of the role. The role emphasizes MLOps, data processing, and advanced analytics, with a remote-first setup and ongoing learning opportunities across a globally

Qualifications

• Strong experience in building ML models for real world applications.
• Experience with AWS ML services/SageMaker or ML libraries such as Keras, TensorFlow, PyTorch, Scikit-learn.
• Experience with data processing platforms like Spark, Hadoop, or streaming platforms; Python/Pandas, PySpark, Scala, SQL.
• Understanding of feature definition, model metadata, hyperparameter tuning, SGD, deep learning layers and activations.
• Experience in visualization using SageMaker, ggplot, Matplotlib, or Seaborn.
• Experience with IaC tools such as CloudFormation, CDK or Terraform.
• Excellent written and verbal communication skills.

Responsibilities

• Collaborate with team to deliver ML solutions on AWS for clients.
• Participate in daily standups and agile ceremonies.
• Develop and deploy ML models, MLOps, and analytics solutions.
• Prepare training data and perform big data processing for model training.

Skills

ML Modeling

AWS SageMaker

ML Libraries

MLOps Tools

Time Series Analytics

Python/Pandas

SQL

Feature Engineering

Data Visualization

Communication

Deep Learning

Tools

SageMaker

Keras

TensorFlow

PyTorch

Scikit-learn

MLflow

Kubeflow

Airflow

Spark

Hadoop

Python

PySpark

Scala

SQL

CloudFormation

CDK

Terraform

Matplotlib

Seaborn

Job description

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

Note: This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent. If your background aligns with what we’re looking for, our team may reach out to learn more about you and explore potential future fits.

The Mission

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

Your Qualifications

• 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

Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

NOTE: We’re unable to provide visa sponsorship now or at any time in the future.

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact [e-mail]

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at [e-mail].