Associate AI Engineer

Emonics LLC; Edison (NJ); On-site; USD 90,000 - 110,000; Full time

Job summary

Emonics LLC seeks an Associate AI Engineer to support the development, integration, testing, and deployment of AI and machine-learning solutions in Edison, NJ. You will assist in designing, developing, and deploying AI/ML solutions and build AI-powered features into applications and workflows.

The role requires building and maintaining AI/ML applications using Python, preparing and analyzing datasets, and deploying solutions via cloud and container technologies while staying current with

Qualifications

• Bachelor's degree or equivalent knowledge in Computer Science, AI, Data Science, Engineering, or a related field.

Responsibilities

• Assist in designing, developing, and deploying AI/ML solutions.
• Build and integrate AI-powered features into applications and business workflows.
• Develop and maintain AI/ML applications using Python.
• Prepare, clean, and analyze datasets for machine-learning solutions.
• Build, evaluate, and improve machine-learning models.
• Build REST APIs and AI-powered services.
• Perform model testing, evaluation, debugging, and optimization.
• Deploy AI solutions using cloud and container technologies.
• Write technical documentation and maintain code repositories.
• Stay current with emerging AI/ML and generative-AI technologies.

Skills

Python

AI/ML concepts

Data analysis

Education

Bachelor's degree in CS/AI/Data Science/Engineering

Tools

REST APIs

Cloud platforms

Docker/Kubernetes

Job description

Role Overview:

We are looking for an Associate AI Engineer to support the development, integration, testing, and deployment of AI and machine-learning solutions.

Responsibilities:

• Assist in designing, developing, and deploying AI/ML solutions.
• Build and integrate AI-powered features into applications and business workflows.
• Develop and maintain AI/ML applications using Python.
• Prepare, clean, and analyze datasets for machine-learning solutions.
• Build, evaluate, and improve machine-learning models.
• Build REST APIs and AI-powered services.
• Perform model testing, evaluation, debugging, and optimization.
• Deploy AI solutions using cloud and container technologies.
• Write technical documentation and maintain code repositories.
• Stay current with emerging AI/ML and generative-AI technologies.

Required Qualifications:

• Bachelor's degree or equivalent knowledge in Computer Science, AI, Data Science, Engineering, or a related field.