ML Engineer: Build & Deploy Production ML Systems

AVP VIGILANT TECHNOLOGY PVT LTD; New York (NY); Hybrid; USD 120,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

401(k)

Paid time off

Job summary

AVP Vigilant Technology Pvt Ltd is seeking a Machine Learning Engineer to design, build, deploy, and optimize ML solutions. You will work across data, model development, software engineering, and MLOps to bring ML models from experimentation into production systems in a hybrid US-based role.

The ideal candidate has 2–8 years of experience, strong Python skills, hands-on experience with scikit-learn, PyTorch, or TensorFlow, plus ML deployment, CI/CD, model monitoring, and cloud platforms

Qualifications

• 2-8 years of experience in Machine Learning Engineering, Software Engineering, Data Science, or a related field.
• Strong proficiency in Python and experience with ML libraries such as scikit-learn, PyTorch, or TensorFlow.
• Hands-on experience deploying ML models into production.

Responsibilities

• Develop, train, evaluate, and optimize machine learning models.
• Build scalable ML pipelines for data preparation, training, validation, and deployment.
• Productionize ML models and monitor performance, reliability, and model drift.
• Implement MLOps practices for automated model deployment and lifecycle management.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams.
• Improve model accuracy, scalability, latency, and overall system performance.

Skills

Python

ML libraries

Model deployment

MLOps

SQL

Cloud platforms

Software engineering

Tools

Kubernetes

Docker

Airflow

MLflow

Kubeflow

Job description

AVP Vigilant Technology Pvt Ltd is seeking a Machine Learning Engineer to design, build, deploy, and optimize ML solutions. You will work across data, model development, software engineering, and MLOps to bring ML models from experimentation into production systems in a hybrid US-based role.

The ideal candidate has 2–8 years of experience, strong Python skills, hands-on experience with scikit-learn, PyTorch, or TensorFlow, plus ML deployment, CI/CD, model monitoring, and cloud platforms