MLOps Engineer

About Saarthee :

Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind : Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India.

Position Summary :

We are seeking a skilled ML / DevOps Engineer to support and enhance our machine learning operations infrastructure. In this role, you will be responsible for monitoring production services, troubleshooting issues, and collaborating with teams to improve automation and system reliability. You will play a critical role in ensuring seamless model deployment, performance, and integration within our ML platform

Key Responsibilities :

• Focus on ML model load testing and creation of E2E test cases.
• Evaluate models’ scalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the models.
• Enhance monitoring of model scalability, and handle incident of increased error rate.
• Collaborate with existing machine learning engineers, backend engineers and QA test engineers from cross-functional teams.

Required Skills & Qualifications :

Mandatory Skills : Databricks, mlFlow, Seldon, AWS, Kubeflow, Tecton, Jenkins, Graffna, Python

What We Offer :