Hybrid Machine Learning Engineer Mexico Machine Learning Engineer Mexico

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 Mission At Caylent, a 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 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 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 Qualifications At least 3 years of hands on experience in at least a few of these ML tools/techniques: Build ML models in SageMaker Build ML models in frameworks like Tensorflow & PyTorch and deploy in SageMaker Train and deploy AWS pre-trained AI Services and Foundational Models Build and optimize models using feature definition, activation functions, hyperparameter tuning and other techniques Integrate ML models into real-time applications and batch workflows, recommend better infrastructure design and optimization Monitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOps Hands on experience in these data engineering tools/techniques: Data integration, cleansing, transformation, and visualization using Python packages, SQL etc. AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etc. Experience with an IaC tool such as CloudFormation, CDK or Terraform Excellent written and verbal communication skills Medical Insurance for you and eligible dependentsGenerous holidays and flexible PTOPaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureCaylent 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 ******. Accepted file types: pdf, doc, docx, txt, rtfAccepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile At 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". * Select...#J-18808-Ljbffr