MLOps Engineer(NJ)

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๐ŸŒ Remote๐Ÿ“ New Jersey, United States๐Ÿ“ TELECOMMUTEFull time

About this 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.
  • 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

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.



Frequently Asked Questions

Is the salary disclosed for the MLOps Engineer(NJ) position at sJUKvzuwkZUks5P23HYp2P?
The salary for this MLOps Engineer(NJ) role at sJUKvzuwkZUks5P23HYp2P is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the MLOps Engineer(NJ) job at sJUKvzuwkZUks5P23HYp2P remote?
Yes, this MLOps Engineer(NJ) position at sJUKvzuwkZUks5P23HYp2P is remote, with team members based in New Jersey, United States, TELECOMMUTE. You can work from home or anywhere in the supported regions.
Is the MLOps Engineer(NJ) role at sJUKvzuwkZUks5P23HYp2P full-time or part-time?
This is listed as a Full time position. It is posted as a MLOps Engineer(NJ) role in the MLE department at sJUKvzuwkZUks5P23HYp2P.
Which team or department does the MLOps Engineer(NJ) at sJUKvzuwkZUks5P23HYp2P belong to?
This MLOps Engineer(NJ) position is part of the MLE department at sJUKvzuwkZUks5P23HYp2P. See the full job description for more information about the team structure and responsibilities.
How do I apply for the MLOps Engineer(NJ) position at sJUKvzuwkZUks5P23HYp2P?
Click the "Apply Now" button on this page. You will be redirected to sJUKvzuwkZUks5P23HYp2P's official application portal hosted on workable where you can submit your application directly.
When was the MLOps Engineer(NJ) job at sJUKvzuwkZUks5P23HYp2P posted?
This MLOps Engineer(NJ) position at sJUKvzuwkZUks5P23HYp2P was posted on Jul 2, 2024. Apply as soon as possible โ€” early applications are often reviewed first.
MLOps Engineer(NJ)
sJUKvzuwkZUks5P23HYp2P
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