MLOps Engineer(NJ)

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.

Posting text as published by Tiger Analytics.

The evidence behind this listing

Workplace

Remote Employer field

Seniority

Not established

Employment type

Not established

Location as listed

New Jersey, United States

Technology

aws sagemakeraws cftaws codepipelinelambdaairflowpytestpythondocker

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

Not stated

Security clearance

Not required

Citizenship

Not required