RemoteLeaf Logo
Log in Sign up

MLOps Engineer(NJ)

1 day, 4 hours ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Airflow Apache Spark AWS AWS SES CloudFormation Docker FastAPI Flask Hadoop Keras Kubernetes Machine Learning MLflow NumPy Oracle Pandas Pytest Python REST API SageMaker Scikit-learn SciPy TensorFlow Terraform
Apply Now
Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 74

Description

  • Build, deploy, test, and monitor machine learning training models and scoring pipelines using AWS SageMaker and related AWS services.
  • Develop Airflow DAGs to orchestrate training and scoring workflows.
  • Create a testing framework using Pytest for machine learning pipelines and experiments.
  • Implement monitoring solutions using Lambda and Dash.
  • Develop data quality checks and solutions, potentially using Great Expectations.
  • Collaborate with Data Engineers and Data Scientists to build data and model pipelines.
  • Support machine learning tests, model evaluation, and experimental design.
  • Work within continuous integration practices and maintain good coding standards.
  • Contribute to cloud-based ML infrastructure using tools such as CloudFormation, Terraform, Docker, and Kubernetes.

Requirements

  • Bachelor's degree or higher in computer science or a related field.
  • 5+ years of work experience; 5-7 years of IT experience preferred for the ML engineer role.
  • Experience with AWS SageMaker, including Processing Jobs, Training Models, and EndPoints.
  • Experience with Lambda, CloudFormation or Terraform, Apache Airflow, Astronomer, and Docker.
  • Knowledge of traditional machine learning models.
  • Strong Python skills with experience in Spark, Hadoop, and Docker.
  • Experience with good coding practices in a continuous integration context.
  • Knowledge of ML frameworks such as Scikit-learn, TensorFlow, and Keras.
  • Experience with Pandas, NumPy, SciPy, and sklearn.
  • Knowledge of database and data engineering concepts.
  • Experience with Oracle, Spark, Hadoop, Athena, APIs, FastAPI, Flask, and REST services.
  • Knowledge of MLflow, Airflow, and Kubernetes.
  • Experience with cloud environments and AWS services such as Service Catalog, SNS, and SES.

Benefits

  • Opportunity for significant career development.
  • Fast-growing and challenging entrepreneurial environment.
  • High degree of individual responsibility.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Motional

Senior Motion Planning Engineer - Trajectory Generation

Motional 1K-5K Automotive

Motional is hiring a Motion team engineer to advance production-ready autonomous vehicle behavior for its robotaxi fleet through motion planning, robotics, and software development.

United States Full-time Senior Machine Learning Engineer Research Scientist
$172k-$229k
C++ CI/CD Machine Learning Python
4 hours, 39 minutes ago
HubSpot

Principal Machine Learning Engineer

HubSpot 5K-10K Media

HubSpot is hiring a Principal Machine Learning Engineer to lead applied ML and AI systems that help the company’s platform understand CRM context and turn complex customer data into product value.

United States Full-time Lead Machine Learning Engineer
$286k-$457k
CRM Deep Learning LLM Machine Learning NLP PyTorch Scikit-learn TensorFlow Transformers
1 day, 3 hours ago
NineTwoThree

ML Engineer (Applied AI)

NineTwoThree 51-250 Internet Software & Services

NineTwoThree AI Studio is hiring a remote ML Engineer to build and deploy production AI systems, including LLM applications and predictive models, for clients across industries.

Spain Full-time Mid Level Machine Learning Engineer
AWS Generative AI Machine Learning NLP Python SageMaker SQL
1 day, 4 hours ago
Credence Independent

Acquisition Specialist - Senior

Credence Independent 1K-5K Internet Software & Services

Credence is hiring an Acquisition Specialist - Senior to support the Space Systems Command S6 Office at Los Angeles Space Force Base on mission-focused communications, IT, digital modernization, and data management initiatives.

United States Full-time Senior Machine Learning Engineer Product Designer (UI/UX)
Agile Angular AWS Azure CI/CD CSS Docker GCP Generative AI HTML JavaScript Kubernetes Machine Learning Microservices MLOps NLP Python PyTorch React Scikit-learn TensorFlow Vue.js
2 days, 4 hours ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers