Associate Machine Learning Engineer (MLOps)

Location: Hyderabad, India

Company

hirify.global is a global tire manufacturer with approximately 63,000 employees and production facilities in 19 countries.

What you will do

• Contribute to the development of an ML Operations platform.
• Deploy machine learning models to production, including artifact versioning, model serving, inference pipelines, and platform integration.
• Build model monitoring, logging, observability, benchmarking, and evaluation capabilities.
• Develop and manage containerized deployment environments.
• Evaluate cloud-native services, distributed computing frameworks, and infrastructure automation tools.
• Collaborate with data scientists, cloud engineers, and data engineers to productionize, troubleshoot, and optimize AI models at scale.

Requirements

• Bachelor’s degree in Computer Science; a master’s degree is preferred.
• Fluent English required.
• 3–4 years of experience deploying, monitoring, and maintaining machine learning models in cloud environments.
• Experience with AWS, Terraform, Kubernetes, Linux, Bash, Docker, and Airflow.
• Knowledge of SQL, NoSQL, data lakes, object storage, batch and streaming pipelines.
• Proficiency in Python, Git, unit testing, CI/CD principles, production software deployment, and the machine learning lifecycle.

Culture & Benefits

• Opportunity to work with data science, AI, cloud engineering, and data engineering teams.
• Work includes independent problem-solving and collaborative delivery.
• Exposure to new technologies, cloud-native services, and distributed computing.