MLOps Engineer - Python

Responsibilities :

• Develop, optimize, and maintain scalable machine learning pipelines for training, evaluation, and deployment.
• Work with research and product teams to productionize AI / ML models, ensuring reliability, scalability, and performance.
• Automate workflows for data preprocessing, model training, validation, and monitoring.
• Implement robust monitoring systems for detecting data drift, model degradation, and system anomalies.
• Build APIs, services, and tools that integrate models seamlessly into end-user applications.
• Ensure reproducibility, experiment tracking, and version control using modern MLOps practices.
• Collaborate with engineers to optimize inference performance and reduce latency in production.
• Stay updated on best practices in applied ML, data engineering, and MLOps.

Requirements :

Bonus Points :

(ref : hirist.tech)