Description :

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 to wards insights fueled success. Thats why we call ourselves Saartheeinspired 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 looking for an experienced ML/DevOps Engineer who can execute projects end-to-end and take them to production pipelines. The candidate will be responsible for ML model load testing, E2E test case creation and CI/CD Pipeline implementation. This is a cross functional role requiring collaboration with ML Engineers, Backend Engineers & QA Teams.

Your Role Responsibilities and Duties :

- Design and execute ML model load tests, create and automate end-to-end (E2E) test cases for individual models.

- Evaluate model scalability and latency by running metric suites under varying RPS (Request Per Second) to ensure smooth model rollouts.

- Enhance monitoring of model scalability and handle incidents related to increased error rates.

- Collaborate closely with machine learning engineers, backend engineers & QA test engineers across cross functional teams.

- Design, implement and maintain end-to-end CI/CD pipelines using Git, GitHub Actions, GitLab and Jenkins.

- Manage & optimize cloud infrastructure on AWS using Terraform, Docker and Kubernetes.

- Work with custom ML platforms, feature stores and ML monitoring tools.

- Apply best practices in machine learning and software engineering production deployments.

Requirements :

- Advanced Degree (PhD or Masters) in computer science, Engineering, Statistics, or a related field.

- Minimum 4+ years of industry experience (research group/ R&D experience excluded).

- Strong machine learning, statistical and analytical skills.

- Hands on experience with Databricks, mlFlow and Seldon.

- Experience with Kubeflow, Tecton and Jenkins.

- Strong programming skills in Java, Python or Scala.

- Expertise in recommendation systems.

- Expertise in building and monitoring large scale, customer facing ML applications.

- Familiarity with feature store concepts and ML model monitoring practices Saarthee Actionable Insights

Mandatory Skills :

- Python and Shell Scripting

- Terraform (Infrastructure as Code)

- AWS Cloud Services

- Docker and Kubernetes.

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 a stage for holistic professional development, growth, and branding.

- An empathetic, excellence-driven, and result-oriented organization that believes in mentoring and growing teams with a constant emphasis on learning.