Tiger Analytics hiring MLOps Engineer(NJ) • Remote (Work from Home) | Himalayas
Tiger AnalyticsTA

MLOps Engineer(NJ)

We provide certainty by solving your toughest challenges.

Tiger Analytics

Employee count: 1001-5000

United States only

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

  • ML Engineer with 5-7 years of IT experience.
  • Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc.
  • Develop Airflow DAGs to run training and scoring pipelines
  • Develop a Testing framework with Pytest
  • Implement monitoring solution with homebrew solution using Lambda and Dash
  • Develop Data Quality solutions potentially leveraging Great Expectations.

Requirements

  • Bachelor's degree or higher in computer science or related, 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

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

United States +/- 0 hours

About Tiger Analytics

Learn more about Tiger Analytics and their company culture.

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We provide certainty by solving your toughest challenges.

Problem-solving is not just about finding answers, but also about asking more questions until we know what will determine success and how to get there. Our focus is on helping you drive the right course of action, dispel ambiguity, and move ahead with confidence by bringing the best of AI and analytics together.

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Tiger Analytics

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