Position Details
About this role
Lead the development and production deployment of machine learning solutions, collaborating with data scientists and engineers to build scalable ML models and data pipelines.
Key Responsibilities
- Operationalize ML models and components
- Solve complex problems with code and ML models
- Leverage cloud architectures for scalable ML
- Build optimized data pipelines
- CI/CD, test automation and deployment monitoring
Technical Overview
Role requires hands-on ML model development across Python/R, ML frameworks (TensorFlow, PyTorch), ML deployment on AWS SageMaker, data pipelines with Spark, and CI/CD practices.
Ideal Candidate
The ideal candidate is an experienced ML engineer with strong Python/R skills, hands-on experience deploying models on AWS SageMaker, and a track record of building scalable data pipelines and ML solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's degree in Computer Science or Engineering or related field required, On-site location in Newark, NJ, No explicit visa sponsorship requirement mentioned
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile