Machine Learning Engineer — Production ML & MLOps (Hybrid)

AVP VIGILANT TECHNOLOGY PVT LTD; Boston (MA); Hybrid; USD 120,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) and retirement benefits

Paid time off

Job summary

AVP Vigilant Technology Pvt Ltd is seeking a skilled Machine Learning Engineer to design, build, deploy, and optimize ML solutions across data, model development, software engineering, and MLOps. You will implement pipelines, productionize models, and monitor performance to ensure robust systems.

The role requires 2–8 years of experience, strong Python skills, and hands-on deployment of ML models on cloud platforms, with focus on scalable pipelines, testing, and monitoring.

Qualifications

• 2-8 years of experience in ML engineering or related field.
• Strong Python skills and experience with scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of ML algorithms, statistics, model evaluation.
• Hands-on experience deploying ML models to production.
• Experience with MLOps, ML pipelines, and CI/CD.
• Strong SQL and data-processing skills.
• Experience with AWS, Azure, or Google Cloud.

Responsibilities

• Develop, train, evaluate, and optimize ML models.
• Build scalable ML pipelines for data prep, training, validation, and deployment.
• Productionize ML models and monitor performance, reliability, and drift.
• Implement MLOps practices for automated deployment and lifecycle management.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams.
• Improve model accuracy, scalability, latency, and system performance.
• Design APIs and services for integrating ML models into production apps.
• Implement testing, CI/CD, version control, and automated ML workflows.
• Troubleshoot production ML systems and improve reliability.
• Stay current with ML, MLOps, and AI technologies.

Skills

Python

ML pipelines

SQL

ML

Cloud platforms

CI/CD

MLOps

Tools

PyTorch

TensorFlow

scikit-learn

Docker

Kubernetes

Airflow

Kubeflow

MLflow

Job description

AVP Vigilant Technology Pvt Ltd is seeking a skilled Machine Learning Engineer to design, build, deploy, and optimize ML solutions across data, model development, software engineering, and MLOps. You will implement pipelines, productionize models, and monitor performance to ensure robust systems.

The role requires 2–8 years of experience, strong Python skills, and hands-on deployment of ML models on cloud platforms, with focus on scalable pipelines, testing, and monitoring.