Machine Learning Engineer

VapTales, Inc.; 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

Company Overview

VapTales is a Generative AI platform focused on agentic orchestration and enterprise-scale workflows. We partner with major global enterprises and to curate advanced customer experiences using cutting-edge AI technologies. Building on our success in the retail and e-commerce sector, we are currently expanding our platform to serve the online grocery marketplace. This strategic initiative aims to provide a new, agentic way for enterprise clients to serve online shoppers, integrating advanced AI into high-volume transaction environments.

Job Summary

As a Machine Learning Engineer, your focus will be on delivering intelligent digital experiences at scale. You will build and optimize AI-powered solutions that help enterprise customers improve customer engagement, automate processes, and deliver highly personalized experiences across digital channels.

Key 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.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.

• Strong proficiency in Python and machine learning frameworks.

• Experience with model deployment and MLOps practices.

• Understanding of machine learning algorithms and evaluation techniques.

• Knowledge of cloud infrastructure and distributed systems.

Nice to Have

• Experience with recommendation systems, personalization, or computer vision.

• Familiarity with Kubernetes, Docker, and CI/CD workflows.

• Experience with large-scale data processing systems.

• Contributions to open-source AI projects or research.