Remote AI/ML Engineer — Build AI & Automation at Scale

Nexdew Technologies; Northern (KY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Performance incentives

Cutting-edge AI projects

Professional development

Job summary

Nexdew Technologies offers a fully remote AI/ML engineering role in the United States. You will design, build, and deploy end-to-end AI/ML models and scalable architectures, while integrating intelligent automation workflows to improve business operations.

You will work with cross-functional teams to translate requirements into practical AI solutions and optimize pipelines for performance and latency. The role emphasizes production deployment, model monitoring, and ongoing improvement, with a

Qualifications

• 3+ years of hands-on experience in AI/ML development and production deployment.
• Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
• Experience in building and integrating LLM applications, LangChain, or agentic workflows.
• Solid understanding of REST APIs, cloud platforms (AWS/GCP/Azure), and CI/CD pipelines.
• Strong problem-solving skills and experience working in remote teams.

Responsibilities

• Design, build, and deploy end-to-end AI/ML models and scalable architectures.
• Develop and integrate intelligent automation workflows to streamline business operations.
• Collaborate with cross-functional teams to identify use cases and translate requirements into AI solutions.
• Optimize machine learning pipelines for performance, scalability, and latency.
• Monitor, evaluate, and fine-tune model accuracy and reliability in production.

Skills

Python

ML/AI development

REST APIs

CI/CD

Tools

LangChain

AWS

GCP

Azure

Job description

Nexdew Technologies offers a fully remote AI/ML engineering role in the United States. You will design, build, and deploy end-to-end AI/ML models and scalable architectures, while integrating intelligent automation workflows to improve business operations.

You will work with cross-functional teams to translate requirements into practical AI solutions and optimize pipelines for performance and latency. The role emphasizes production deployment, model monitoring, and ongoing improvement, with a