Senior Machine Learning Engineer

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 CaylienNote: 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 MissionAt 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 AssignmentsWork with a team to deliver machine learning solutions on AWS for customersParticipate in and contribute to daily standup meetingsDevelop and implement ML models, MLOps, and analyticsBig data processing and preparation of training data for modelsYour QualificationsStrong experience in building ML models for real world applicationsStrong experience in at least one of these:AWS ML Services/SageMakerML libraries like Keras, Tensorflow, PyTorch, Scikit-learnMLOps tools such as MLflow, Kubeflow, AirflowAdvanced analytics using time series forecasting and/or inferential statisticsStrong experience in one or more of these data processing solutions:Big data processing platforms like Spark, Hadoop, or streaming platformsData processing and cleansing using Python/Pandas, PySpark, Scala, SQLStrong understanding of feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functionsExperience in visualization using SageMaker, ggplot, matplotlib, or seabornExperience with an IaC tool such as CloudFormation, Amazon CDK or TerraformExcellent written and verbal communication skillsBenefits 100% remote workGenerous holidays and flexible PTOPaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendIndividual professional development planAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureThis role may require up to 25% travel, depending on business needs.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 atNOTE: 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 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