Machine Learning Engineer - Mlops

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 :

Experience in Kubeflow .

Experience in building and monitoring large-scale online customer-facing ML applications, preferably recommendation systems.

Experience working with custom ML platforms, feature store, and monitoring ML models.

Familiarity with best practices in machine learning and software engineering

Advanced degree (Master’s or Ph.D.) in Computer Science / Statistics / Data Science, specializing in machine learning.

3+ years of industry experience (pls don’t include years in a research group or R&D team)

Strong programming skills in languages such as Java, Python , Scala.

Hands-on Experience in Databricks, mlFlow, Seldon

Excellent problem-solving skills and analytical skills

Expertise in recommendation algorithms

Experience with software engineering principles, and use of cloud services like AWS

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

What We Offer :

Bootstrapped and financially stable with high pre-money evaluation.

Above industry remunerations.

Additional compensation tied to Renewal and Pilot Project Execution.

Additional lucrative business development compensation.

Firm building opportunities that offer stage for holistic professional development, growth, and branding.

Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning.