About this opportunity
Pyramid Consulting, Inc lists this Mlops Engineer opportunity in city of jersey city, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Immediate need for a talented MLOps Engineer. This is a 06+months contract opportunity with long-term potential and is located in Jersey City ,NJ(Hybrid). Please review the job description below and contact me ASAP if you are interested.
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Job ID:
Pay Range:
$50 - $60/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
Build and manage ML pipelines using Python , Spark , Databricks , and MLflow
Manage model registration, versioning, and promotion from development to UAT and production
Support model deployment and serving on Kubernetes and AWS EKS
Implement CI/CD automation for ML pipelines and model releases
Monitor deployed models for drift and maintain evidence required for model risk management
Key Requirements and Technology Experience:
3+ years of experience in MLOps or related field
Proficiency in Python , Spark , Databricks , and MLflow
Familiarity with Kubernetes and AWS EKS
Experience with CI/CD automation for ML pipelines
Our client is a leading Airlines & Aviation Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Worksite address
city of jersey city, NJ, 07305, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.