ML Engineer: Build & Deploy Production AI Models

Jobaaj Com; United States; Remote; USD 90,000 - 135,000; Full time

Job summary

Jobaaj Com is hiring a Machine Learning Engineer to design, build, and deploy ML models at scale. You will work across the full ML lifecycle from experimentation to production, delivering impact through production systems.

The role emphasizes building ML pipelines, MLOps infrastructure, model monitoring, and collaboration with product, engineering, and data teams. Strong Python and ML frameworks experience is required; cloud and containerization skills are a plus.

Qualifications

• 0 to 2 years of experience in machine learning engineering or related role.
• Bachelor's or Master's degree in CS, Data Science, Engineering, or related field.
• Strong programming skills in Python.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience deploying models using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).

Responsibilities

• Design, build, and optimize ML models for production use cases.
• Develop and maintain ML pipelines for preprocessing, training, and deployment.
• Collaborate with data scientists to transition models to production.
• Build and manage MLOps infrastructure (CI/CD, monitoring).
• Monitor models for drift and retraining needs.
• Collaborate with product and engineering teams to define ML-driven solutions.

Skills

Python

ML frameworks

ML algorithms

Education

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

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

AWS

GCP

Azure

Job description

Jobaaj Com is hiring a Machine Learning Engineer to design, build, and deploy ML models at scale. You will work across the full ML lifecycle from experimentation to production, delivering impact through production systems.

The role emphasizes building ML pipelines, MLOps infrastructure, model monitoring, and collaboration with product, engineering, and data teams. Strong Python and ML frameworks experience is required; cloud and containerization skills are a plus.