Senior ML Engineer — Scalable Cloud ML Systems

Coforge; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Coforge is seeking an experienced ML Engineer to design and implement scalable, production-grade ML systems in cloud environments. You will architect end-to-end ML solutions from data ingestion to monitoring, and manage containerized workloads with Docker and Kubernetes.

You will lead experimentation strategies, mentor engineers, and help establish engineering standards for ML initiatives across projects and teams.

Qualifications

• 5+ years building, deploying, and scaling Machine Learning systems with strong Python/SQL skills.
• Experience with ML frameworks such as Scikit-learn, PyTorch, TensorFlow, XGBoost and MLflow.
• Hands-on cloud deployment experience (AWS/Azure/GCP or Databricks) and container orchestration expertise.

Responsibilities

• Design and implement scalable, production-grade ML systems in cloud environments.
• Architect end-to-end ML solutions from data ingestion to monitoring, managing containerized workloads with Docker and Kubernetes.
• Lead experimentation strategies, mentor engineers, and establish engineering standards for ML initiatives.

Skills

Python

SQL

PySpark

Tools

Docker

Kubernetes

MLflow

Job description

Coforge is seeking an experienced ML Engineer to design and implement scalable, production-grade ML systems in cloud environments. You will architect end-to-end ML solutions from data ingestion to monitoring, and manage containerized workloads with Docker and Kubernetes.

You will lead experimentation strategies, mentor engineers, and help establish engineering standards for ML initiatives across projects and teams.