Why This Role Stands Out
This hybrid MLOps Engineer role offers a competitive hourly rate and the chance to build and manage cutting-edge ML pipelines within the aviation industry. You'll thrive here if you're a skilled Python, Spark, and Kubernetes professional eager to gain experience with model deployment and CI/CD automation. Apply now to leverage your expertise and advance your career with this exciting opportunity.
Quick Overview
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.
Job ID:26-31522
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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