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 & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between. 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!The MissionAt Caylent, a Machine Learning Architect 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 also have a weekly 1:1 with your manager to help guide you in your career and make the most of your time at Caylent.Your AssignmentWork with a team to deliver top-quality data solutions on AWS for customersParticipate in daily standup meetings and address technical issuesDesign and document ML models, MLOps, and analyticsBe able to write code whenever needed and possibleLead and help engineers without any direct supervisionYour QualificationsAt least 5 years of hands-on experience in most of these ML tools/techniques:2 to 3 out of 5 years using SageMakerBuild ML models in frameworks like TensorFlow & PyTorch and deploy in SageMakerTrain and deploy AWS pre-trained AI Services and Foundational ModelsBuild and optimize models using feature definition, activation functions, hyperparameter tuning and other techniquesIntegrate ML models into real-time applications and batch workflows, recommend better infrastructure design and optimizationMonitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOpsHands-on experience in these data engineering tools/techniques:Data integration, cleansing, transformation, and visualization using Python packages, SQL, PySpark, etc.AWS services such as Glue, EMR, Athena, DynamoDB, Step Functions, EKS, etc.Experience with an IaC tool such as CloudFormation, CDK or TerraformExperience with CI/CD toolsExcellent written and verbal communication skillsCaylent 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.Apply for this job* indicates a required fieldFirst Name *Last Name *Email *PhoneResume/CV *LinkedIn ProfileAt Caylent, we are dedicated to creating a diverse and inclusive workplace. To support our efforts in fostering a more equitable recruitment process, we invite you to share your gender identity voluntarily. This information is optional and will be kept confidential, used only to help us track and improve our diversity initiatives. If you prefer not to answer, you're welcome to select "Prefer Not to Respond".
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