ML Engineer – Scalable AI for Enterprise Experiences

Dover; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

VapTales is seeking a Machine Learning Engineer to design, build, and deploy AI-powered solutions at scale for enterprise clients. You will develop models that improve customer engagement and automate processes across digital channels.

You will work with product and engineering teams to deliver robust, production-ready ML systems, optimize performance, and monitor models in live environments. A strong emphasis on Python, ML frameworks, and MLOps is required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML, or related field.
• Proficiency in Python and ML frameworks.
• Experience with model deployment and MLOps practices.
• Understanding of ML algorithms and evaluation techniques.
• Knowledge of cloud infrastructure and distributed systems.

Responsibilities

• Design, develop, and deploy machine learning models for production environments.
• Build scalable training, inference, and evaluation pipelines.
• Optimize model performance, reliability, and latency.
• Collaborate with product and engineering teams to integrate AI solutions.
• Monitor deployed models and continuously improve performance.

Skills

Python

ML frameworks

MLOps

ML algorithms

Cloud infrastructure

Education

Bachelor’s or Master’s degree in CS/AI

Tools

Kubernetes

Docker

CI/CD workflows

Job description

VapTales is seeking a Machine Learning Engineer to design, build, and deploy AI-powered solutions at scale for enterprise clients. You will develop models that improve customer engagement and automate processes across digital channels.

You will work with product and engineering teams to deliver robust, production-ready ML systems, optimize performance, and monitor models in live environments. A strong emphasis on Python, ML frameworks, and MLOps is required.