Machine Learning Operations (MLOps) Engineer at Interswitch

JOB SUMMARY

• The ideal candidate will be responsible for supporting and enhancing Interswitch’s machine learning operations (MLOps) ecosystem.
• He/she will ensure the seamless deployment, monitoring, and optimization of machine learning models while enabling data scientists and engineers to deliver innovative AI/ML solutions.

JOB RESPONSIBILITIES

• Deploy and manage machine learning models and pipelines, automate deployment processes, and monitor model performance in production environments.
• Collaborate with the infrastructure team to provision, configure, and maintain the necessary resources for machine learning workloads.
• Implement and maintain CI/CD pipelines for ML projects, ensuring seamless and efficient deployment processes.
• Monitor and optimize model performance, scaling resources as needed to accommodate increased workloads and maintain system stability.
• Maintain version control for machine learning models and associated codebase using industry-standard tools (e.g., Git).
• Work closely with data scientists, data engineers, data analysts, software engineers, and other cross-functional teams to ensure successful model deployments and integration.
• Adhere to security best practices and compliance requirements, ensuring data privacy and protection.
• Create and maintain documentation for MLOps processes and workflows.
• Diagnose and resolve issues related to machine learning pipelines, infrastructure, and deployments.

EDUCATIONAL QUALIFICATION(S) and CERTIFICATION

• Bachelor's degree in Computer Science, Engineering, or a related field.

EXPERIENCE

• Minimum of 2 years in data science and/or 1-2 years in DevOps role.
• 1-2 years in a data role for reporting purposes such as operations reporting, statistics, etc.