Job description:MLOps Responsibilities:- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.- Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes.- Automate the training, testing and deployment processes for machine learning models.- Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability.- Implement best practices for version control, model reproducibility and governance.- Optimize machine learning pipelines for scalability,



efficiency and cost-effectiveness.- Troubleshoot and resolve issues related to model deployment and performance.- Ensure compliance with security and data privacy standards in all MLOps activities.- Keep up to date with the latest MLOps tools, technologies and trends.- Provide support and guidance to other team members on MLOps practices.Required skills and experience:- 3 - 10 years of experience in MLOps, DevOps or a related field.- Bachelor's degree in computer science, Data Science or a related field.- Robust understanding of machine learning principles and model lifecycle management.- Experience in Jenkins pipeline development.- Experience in automation scripting. (ref:hirist.tech)

📌 Wits Innovation Lab - MLOps Engineer (Delhi)
🏢 Wits Innovation Lab
📍 Delhi