ML Ops Support

Location: Chennai, India

Company

hirify.global is hiring for an ML operations role supporting Ford Direct and automotive B2B initiatives.

What you will do

• Design data pipelines and engineering infrastructure for enterprise machine learning systems at scale.
• Deploy offline models from data scientists into production using Databricks.
• Manage model deployment, monitoring, retraining, scaling, versioning, auditability, and data security.
• Apply software engineering practices including CI/CD and automation to machine learning systems.
• Evaluate technologies that improve production model performance, maintainability, and reliability.
• Coordinate with technical and business teams to define requirements and track progress.

Requirements

• 5+ years of experience with model development, monitoring, and production.
• 7 years of experience in data analytics or business intelligence and 3 years managing analytics initiatives.
• Strong understanding of the machine learning lifecycle, model versioning, and CI/CD for ML models.
• Experience with AWS, GCP, or Azure; Docker and Kubernetes; and ML pipeline orchestration.
• Knowledge of Terraform or CloudFormation and CI/CD tools such as Jenkins or GitLab.
• Strong Python programming skills, familiarity with data engineering pipelines, ML frameworks, data preprocessing, and feature engineering.

Culture & Benefits

• Full-time employment.
• Work is connected to automotive and B2B domains.
• Opportunity to facilitate proof-of-concept machine learning system development and deployment.