Senior Machine Learning Engineer
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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.
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 versátil 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
Travel
This role may require up to 25% travel, depending on business needs.
Visa Sponsorship
NOTE: We’re unable to provide visa sponsorship now or at any time in the future.
Diversity and Inclusion
Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Equal Opportunity Employment
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 hr@caylent.com.
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