This role is for one of our clients

Industry: Software Development

Seniority level: Mid-Senior level

Min Experience: 9+ years
Location: Bengaluru
JobType: full-time

₹40,00,000 - ₹80,00,000 a year

We are seeking a hands-on Lead Machine Learning Engineer to design, build, and scale production-grade Generative AI and Machine Learning applications. The role will focus on developing AI-powered assistants, retrieval and reasoning systems, agentic workflows, document intelligence, decision-support solutions, and intelligent automation capabilities that improve productivity, service quality, customer experience, and business outcomes.

This is a technical leadership role for an engineer who has moved beyond experimentation and prototypes and has proven experience taking AI applications through the last mile into production. You will be responsible for ensuring AI systems are reliable, observable, secure, cost-productive, measurable, and trusted by users.

You will work closely with Product, Engineering, Design, Security, Compliance, Operations,



and business stakeholders to identify high-impact AI opportunities, make pragmatic architecture decisions, and deliver production-ready AI experiences at scale.

Requirements

Key Responsibilities

Build AI Solutions for Business Impact

Design, build, and launch GenAI-powered applications including AI assistants, copilots, document intelligence, workflow automation, and decision-support solutions.
Identify high-impact opportunities where AI can improve productivity, operational efficiency, service quality, customer experience, and business outcomes.
Take AI applications from concept through production, collaborating with Product, Engineering, Design, Security, and business teams.
Lead hands-on technical execution across application architecture, model selection, prompt engineering, retrieval, orchestration, APIs, data pipelines, and user-facing experiences.
Translate business requirements into scalable and measurable machine lea

📌 Lead Machine Learning Engineer (Bengaluru)
🏢 Weekday`
📍 Bengaluru