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Key skills for this role
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.
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
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
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, CAN
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 Netw
, USA
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 Netw
Mexico, USA
, CAN
, USA
Mexico, USA
, USA
, USA
, USA
, CAN
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
Caylent is an AWS Premier consulting partner specializing in cloud-native services, helping technology companies from startups to Fortune 500 enterprises modernize on AWS.
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