Tiger Analytics Inc. logo

Tiger Analytics Inc.

MLOps Engineer(NJ)

Work from homeNew today

Remote role where the employee must remain based in a particular country.

United States only

Found 2h ago

First listed today.

Salary

Not stated

Location

United States only

Timezone

US East

Contract

Full-time

Experience

Mid

Category

Software

This employer didn't state pay. Jobs like this usually pay around $140k–$245k a year, a typical range taken from 591 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "United States, New Jersey, New Jersey, United States, Remote"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

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.

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.

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.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 3h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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