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

Caylent, Inc.
United States
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≀ 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

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)
+13 more
Data Processing Pytorch Apache Spark Deep Learning Keras Cloudformation Pandas Matplotlib Pyspark Scikit Learn Kubernetes Machine Learning Operations Terraform

Job 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

Requirements

  • 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 & conditions

  • 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.

About the company

Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production.

Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first.

We are a fully remote global company 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., About Caylent

201-500 Irvine

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