Caylent is hiring a
Machine Learning Architect

Summary

Join Caylent, a cloud native services company, as a Machine Learning Architect to design and document machine learning solutions on the AWS cloud for customers. You will work with a team to deliver top-quality data solutions, participate in daily standup meetings, and lead engineers without direct supervision.

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
• Excellent written and verbal communication skills3

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

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