Caylent is hiring a
Machine Learning Architect in United States

Summary

The job is for a Machine Learning Architect at Caylent, a remote global company specializing in AWS services. The role involves working on ML solutions, participating in daily standup meetings, designing and documenting models, writing code when needed, leading engineers, and having a weekly 1:1 with the manager.

Requirements

• At least 5 years of hands on experience in most of these ML tools/techniques
• 2 to 3 out of 5 years using 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, PySpark etc
• AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etc
• Experience with an IaC tool such as CloudFormation, CDK or Terraform
• Experience with CI/CD tools

Responsibilities

• Work with a team to deliver top-quality data solutions on AWS for customers
• Participate in daily standup meetings and address technical issues
• Design and document ML models, MLOps, and analytics
• Be able to write code whenever needed and possible
• Lead and help engineers without any direct supervision

Preferred Qualifications

Excellent written and verbal communication skills

Benefits

• Medical Insurance for you and eligible dependents
• 401k plan with company match up to 4% and immediate vesting
• Competitive phantom equity
• Company issued laptop
• Dental and Vision insurance
• Term Disability Insurance
• Term Life Insurance
• Flexible Spending Account
• Equipment & Office Stipend
• Annual stipend for Learning and Development
• Unlimited Paid Time Off
• 10 Paid Holidays