Cloud AI Engineering Specialist

1 day ago


Jersey City, New Jersey, United States Tiger Analytics Full time

Tiger Analytics is a dynamic and innovative advanced analytics consulting firm, seeking experienced Machine Learning Engineers to join our team. As a Machine Learning Engineer at Tiger Analytics, you will be responsible for designing, developing, and deploying machine learning models and pipelines using AWS SageMaker, CloudFormation, CodePipeline, Lambda, etc.

  • Responsibilities include:
  • Pipeline Training Models, Building, Deployment, Testing, and Monitoring
  • Developing Airflow DAGs to run training and scoring pipelines
  • Creating a Testing framework with Pytest
  • Implementing monitoring solutions with homebrew solutions using Lambda and Dash
  • Developing Data Quality solutions potentially leveraging Great Expectations.

Requirements:

  • Bachelor's degree or higher in computer science or related field with 5+ years of work experience
  • Ability to collaborate with Data Engineers and Data Scientists to build data and model pipelines and help run machine learning tests and experiments
  • Experience in AWS - SageMaker (ProcessingJobs, TrainingModels, EndPoints)
  • Experience in Lambda CloudFormation or Terraform Apache Airflow, Astronomer Docker
  • Knowledge of traditional ML Models.
  • Python, Spark, Hadoop, and Docker with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design
  • Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras.
  • Experience in Pandas, sklearn, Numpy, Scipy

Additional Skills Required:

  • Knowledge of Database/Data Engineering.
  • Experience with Oracle, Spark, Hadoop, Athena, API, FastAPI, Flask, ReST
  • Knowledge of MLflow, Airflow, and Kubernetes
  • Experience with Cloud environments and knowledge of AWS Services, Service Catalog, SNS, SES

The estimated salary for this role is around $160,000 - $220,000 per year, depending on location and experience.


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