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# AI ML Engineer - Python

- **Company:** NextGen Staffing
- **Location:** Berkeley Heights, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Relational Databases, Software Design Patterns, Python (Programming Language), Machine Learning, MongoDB, MySQL, NoSQL, Redis, Tensorflow, Snowflake, Build Management, Information Technology, Machine Learning Operations, Restful APIs, Serverless Computing, Docker, Jenkins
- **Published:** July 31, 2026
- **Apply:** https://www.dice.com/job-detail/d763a803-42b2-429c-8d7b-76e4115b2567

## About the Role

* Industry experience developing end-to-end customer-facing AI/ML applications and infrastructure.
 * Strong proficiency in Python, REST APIs, AI/ML frameworks, modeling techniques, and model serving.
 * Experience with relational databases (e.g., MySQL, Snowflake), NoSQL databases (e.g., MongoDB, Redis), object storage (e.g., GCS), vector databases, CI/CD tools (Docker, Jenkins), and serverless technologies (Cloud Run/Functions).
 * Strong, internally motivated mindset with the ability to improve team capabilities in a thoughtful, iterative, and collaborative manner.
 * Excellent communication skills with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.

Nice to have:

 * Advanced degree in a quantitative discipline such as Machine Learning, Artificial Intelligence, Computer Science, Statistics, Mathematics, Physics, or a related field.

## Description

The Data Science team at client is responsible for improving the merchant experience by building AI and Machine Learning (ML)-powered features into products. The team builds both AI/ML applications as well as the infrastructure required to scale these experiences.

As a successful Machine Learning Engineer, you will own and drive the architecture, design, development, and deployment of AI/ML products developed by the Data Science team for merchants.

What you will do:

 * Leverage your AI/ML architectural design and development experience to build and deploy end-to-end, high-performance, customer-facing AI/ML applications.
 * Research AI/ML techniques and incorporate them into the team's best practices and design patterns.
 * Collaborate with Product, Design, and Engineering counterparts to execute the AI/ML roadmap, user experience, and technical infrastructure.


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