AI Engineer

JPS Tech Solutions; Remote; USD 80,000 - 100,000; Full time

Job summary

A technology solutions provider is seeking an experienced AI Engineer to design, develop, and deploy scalable AI and machine learning solutions. This remote position demands over 12 years of experience in software engineering, strong skills in Python and machine learning frameworks, and proven expertise in production environments. Key responsibilities include developing models, maintaining data pipelines, and collaborating with various teams to implement AI solutions across enterprise applications.

Qualifications

• 12+ years of experience in software engineering, AI, or machine learning.
• Strong expertise in Python with libraries NumPy and Pandas.
• Experience deploying and maintaining ML models in production.

Responsibilities

• Design and deploy machine learning and deep learning models.
• Build scalable data pipelines and AI microservices.
• Support MLOps including CI/CD pipelines and production monitoring.

Skills

Python

Machine learning

Deep learning

MLOps

Docker

Kubernetes

RESTful APIs

FastAPI

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Job description

Job Category

AI Engineer Python

Job Type

Remote

Job Location

Cary, North Carolina

Compensation

Depends on Experience

Employment Type

W2-Contract Only (C2C not considered)

Eligible Visa

GC, GC-EAD, H4 EAD, L2S, U.S. Citizen (USC)

Role Overview

We are seeking a highly experienced AI Engineer to design, develop, and deploy scalable AI and machine learning solutions in production environments. The ideal candidate will have a strong background in building intelligent systems, optimizing models, and integrating AI capabilities into enterprise applications.

Key Responsibilities

• Design, develop, and deploy machine learning and deep learning models for real-world business use cases
• Build and maintain scalable data pipelines and AI-driven microservices using Python
• Implement model training, evaluation, tuning, and performance optimization techniques
• Integrate AI/ML solutions into enterprise applications through APIs and cloud platforms
• Support MLOps practices including CI/CD pipelines, deployment automation, and production monitoring
• Ensure model reliability, scalability, and performance in production environments
• Collaborate with engineering, data, and business teams to translate requirements into AI solutions

Required Skills & Experience

• 12+ years of overall experience in software engineering, AI, or machine learning
• Strong expertise in Python, including NumPy, Pandas, and FastAPI
• Hands‑on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit‑learn
• Proven experience deploying and maintaining ML models in production environments
• Strong understanding of cloud platforms such as AWS, Azure, or GCP
• Experience with Docker, Kubernetes, and containerized deployments
• Solid knowledge of RESTful APIs and microservices architecture
• Experience with MLOps, CI/CD pipelines, and model monitoring

Preferred Skills

• Experience with NLP, Large Language Models (LLMs), or Generative AI
• Familiarity with enterprise‑scale, distributed systems and data platforms