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JOB DETAILS

Lead Software Engineer - Machine Learning

CompanyFreshworks
LocationChennai
Work ModeOn Site
PostedAugust 25, 2026
About The Company
Freshworks Inc. (NASDAQ: FRSH) is the AI-powered, unified service operations platform that is fast to deploy, intuitive to use, and enables every employee to be more productive. We give agile enterprises the depth they need to operate at scale, without the operational drag of legacy platforms. Domain-specific AI built for IT, HR, finance and every business team on a decade of real service context. Trusted by Seagate, New Balance, Nucor Corp, Sony Music Entertainment, McLaren Racing, and agile enterprises everywhere.
About the Role

Company Description

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.

There’s another option. Freshworks. With a fresh vision for how the world works.

Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Our people-first approach to AI eliminates friction, helping businesses reduce complexity, lower cost-to-serve, and deliver faster, more human support through enterprise-grade yet easy-to-use CX and IT solutions. Nearly 75,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks to power their Employee Experience (EX) and Customer Experience (CX) operations.

Fresh vision. Real impact. Come build it with us.

Job Description

Impact You Will Create

  • Bridge Research and Production: Serve as the critical link translating theoretical data science research and sophisticated algorithms into product-ready, enterprise-scale implementations.

  • Scale to Millions: Build and deploy robust ML APIs and data pipelines engineered to handle millions of requests with high efficiency, low latency, and reliability.

  • Architect from Scratch: Drive organizational technical alignment by architecting high-performance ML solutions from the ground up and leading cross-functional adoption.

Roles & Responsibilities

  • ML Algorithm Implementation: Collaborate with Data Scientists to translate complex models and experimental algorithms into clean, high-performance, production-grade code.

  • End-to-End Pipeline Architecture: Design, build, and manage comprehensive ML pipelines encompassing data pre-processing, model generation, automated deployment, cross-validation, and active feedback loops.

  • High-Performance Service Delivery: Develop and deploy extensible, scalable ML API services optimized for minimal latency under high traffic loads.

  • Operational Intelligence: Design and implement monitoring systems to track engineering efficiency and active ML model performance metrics, ensuring long-term system health.

  • Strategic Innovation & Collaboration: Architect technical solutions from scratch and liaise with cross-product architects and engineers to ensure organizational alignment.

  • Prototyping & POC Execution: Lead Proof of Concept (POC) initiatives across diverse tech stacks to identify and validate optimal infrastructure solutions for complex business challenges.

  • Lifecycle Ownership: Independently own the full lifecycle of feature delivery, from initial requirement gathering with product teams to final deployment and monitoring.

Qualifications

Skills

  • Production ML Engineering: Proven capability in translating advanced mathematical models into optimized, production-ready software.

  • MLOps Mastery: Deep expertise in lifecycle management practices, ensuring seamless model transitions from experimental stages to live production environments.

  • Distributed Pipeline & API Design: Strong architecture skills in building scalable data pipelines and low-latency API microservices.

  • System Telemetry & Monitoring: Proficiency in establishing monitoring frameworks for tracking engineering efficiency, system health, and model performance metrics.

  • Technical Project Leadership: Ability to execute rapid prototyping, evaluate technical stacks, and lead cross-functional technical alignment.

Qualifications

  • Experience: 6 – 9 years of professional experience in software engineering and machine learning development.

  • Track Record: A proven history of successfully building, productionizing, and maintaining Machine Learning solutions at scale.

  • Education: Degree in Computer Science, Artificial Intelligence, or a related quantitative field.

Additional Information

At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.

At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.

  • Compensation: up to INR 0 - monthly
  • Key Skills
    Machine LearningMLOpsSoftware EngineeringData PipelinesAPI DevelopmentSystem ArchitecturePythonDistributed SystemsModel DeploymentMonitoring SystemsTechnical LeadershipPrototypingCross-functional CollaborationAlgorithm ImplementationCloud Infrastructure
    Categories
    SoftwareTechnologyEngineeringData & Analytics
    Job Information
    📋Core Responsibilities
    The Lead Software Engineer will bridge the gap between data science research and production by architecting scalable ML solutions and pipelines. They will own the full lifecycle of feature delivery, from requirement gathering to deployment and performance monitoring.
    📋Job Type
    full time
    📊Experience Level
    5-10
    💼Company Size
    7752
    📊Visa Sponsorship
    No
    💼Language
    English
    🏢Working Hours
    40 hours
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