Who We Are:
For more than 25 years, people-driven companies have turned to Sequoia to get their employee experience right. We’re in this business because we know that taking great care of people leads to better business outcomes. Helping our clients achieve those outcomes is what drives our team, our strategic service offerings, and our technology forward.
Sequoia comes through for clients with guidance, service, and the Sequoia People Platform. Through their compensation, advantages, and overall people programs, we enable them to better manage their global workforce, reduce administrative burdens, and reach a deeper level of employee care and support. We strategically use technology to enhance the expert guidance and committed service we bring to every client engagement.

Role Overview:
As a Staff Machine Learning Engineer, you will design, build, deploy, and scale production-grade AI/ML and GenAI systems across Sequoia's People Platform. This is a hands-on technical leadership role for an engineer who excels at building intelligent systems from scratch, taking them to production,



and continuously improving performance, reliability, cost, and business impact.
You will partner with Product, Engineering, Security, and business stakeholders to solve complex problems using AI while establishing scalable architectures, engineering best practices, and operational excellence.

What You'll Do:

1. Design, Build & Deliver -
• Architect, develop, and deploy end-to-end ML and GenAI solutions, from ideation to production.
• Design scalable ML systems, model serving infrastructure, RAG pipelines, agentic workflows, APIs, and intelligent applications.
• Write high-quality production code and drive engineering best practices across testing, CI/CD, automation, and observability.
• Make pragmatic architecture decisions balancing scalability, performance, reliability, security, and cost.

2. Productionize & Scale -
• Own the full ML lifecycle, including data pipelines, model developme

📌 Staff ML Engineer (Bengaluru)
🏢 Sequoia
📍 Bengaluru