AI Engineer — Build & Deploy Impactful ML Systems

103; New York (NY); On-site; USD 105,000 - 165,000; Full time

Benefits offered by this job

Performance bonus

Health insurance

Training & development

Job summary

Triunity Software in Jersey City, NJ, seeks a talented AI Engineer to design, develop, and deploy ML models and AI-powered applications. You will collaborate across teams to deliver AI-driven solutions and maintain data pipelines for training and inference.

The role emphasizes hands-on work with NLP, CV, and generative AI, plus experience with cloud platforms and MLOps best practices. Strong problem solving and collaboration are essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with NLP, computer vision, or generative AI is a strong plus.

Responsibilities

• Design, develop, and deploy machine learning models and AI-powered applications.
• Collaborate with cross-functional teams to identify and implement AI-driven solutions.
• Build and maintain data pipelines to support model training and inference.
• Evaluate and optimize model performance using relevant metrics and testing frameworks.
• Research and integrate emerging AI/ML technologies, tools, and best practices.
• Document architectures, workflows, and technical processes for team alignment.
• Monitor deployed models and iterate based on real-world performance and feedback.

Skills

Python

TensorFlow

PyTorch

scikit-learn

NLP

Computer Vision

Generative AI

Cloud Platforms

MLOps

LLMs & Prompt Engineering

Data Structures & Algorithms

OpenAI API

Git

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

OpenAI API

Git

Job description

Triunity Software in Jersey City, NJ, seeks a talented AI Engineer to design, develop, and deploy ML models and AI-powered applications. You will collaborate across teams to deliver AI-driven solutions and maintain data pipelines for training and inference.

The role emphasizes hands-on work with NLP, CV, and generative AI, plus experience with cloud platforms and MLOps best practices. Strong problem solving and collaboration are essential.