Senior Machine Learning Engineer - Not An Active Opening, Building Talent Pipeline

Caylent

Argentina, Argentina
Pyy in usd; not specified; generous holidays + fle...
Fully remote
Aws ml services/sagemaker
Ml libraries keras, tensorflow, pytorch
Mlops tools mlflow, kubeflow
Caylent is seeking to build a talent pipeline for a future opening for a Senior Machine Learning Engineer. The role focuses on developing machine learning solutions on AWS, requiring strong technical skills in various ML tools and platforms

Job Summary

  • 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.
  • You will develop solutions designed by an architect and participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer.
  • This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent.

Matching Summary

Match Score: 85

Caylent is seeking to build a talent pipeline for a future opening for a Senior Machine Learning Engineer. The role focuses on developing machine learning solutions on AWS, requiring strong technical skills in various ML tools and platforms.

Salary

Pay in USD; Not specified; Generous holidays and flexible 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

Skills & Requirements

Must-have

  • AWS ML Services/SageMaker
  • ML libraries Keras, Tensorflow, PyTorch
  • MLOps tools MLflow, Kubeflow
  • Big data processing Spark, Hadoop
  • Data processing Python/Pandas, PySpark
  • Feature definition, model tuning
  • Deep learning layer types

Nice-to-have

  • Technological curiosity
  • Cross-functional delivery team
  • Agile ceremonies with customer
  • Career guidance and development

Key Requirements

  • Strong experience building ML models
  • Experience with IaC tool CloudFormation, CDK, Terraform
  • Excellent written and verbal communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter