Lead Software Engineer - Machine Learning at Freshworks

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Software Engineering, ML Algorithm Implementation, Pipeline Architecture, API Services, Monitoring, Prototyping, POC Execution, Data Science, MLOps, Scalability, Low Latency, Cross-Validation, Requirement Gathering, Deployment

Industry

Software Development

Description

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. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description Job Description As a Lead Engineer for the ML Engineering development team, you will act as the critical link between Data Science research and product-ready implementation. Your primary focus is to design, and implement optimal solutions for a wide array of ML use cases. You will partner with Data Scientists to bring sophisticated algorithms to life, building and deploying robust APIs and pipelines that serve millions of requests with high efficiency and reliability. Key Responsibilities ML Algorithm Implementation: Collaborate closely with Data Scientists to translate theoretical models and algorithms into high-performance, production-grade code. End-to-End Pipeline Architecture: Build and manage comprehensive ML pipelines, including data pre-processing, model generation, automated deployment, cross-validation, and active feedback loops. High-Performance Service Delivery: Develop and deploy extensible ML API services optimized for low latency and high scalability. Operational Intelligence: Devise and build monitoring capabilities for both engineering efficiency and ML model performance metrics to ensure long-term system health. Strategic Innovation & Collaboration: Architect solutions from scratch and liaise with cross-product architects and engineers to drive adoption and ensure technical alignment across the organization. Prototyping & POC Execution: Lead Proof of Concept (POC) initiatives on various tech stacks to identify and validate optimal solutions for complex business challenges. Independent Execution: Own the full lifecycle of feature delivery, from requirement gathering with product teams to final deployment and monitoring Qualifications Qualifications Experience: 6-9 years of relevant experience in software engineering and machine learning development. Production Excellence: Proven track record in building and productionizing Machine Learning solutions at scale. MLOps Mastery: Deep experience with MLOps practices, ensuring seamless model transitions from development to production. 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.

Responsibilities

The Lead Engineer will act as the critical link between Data Science research and product implementation, focusing on designing and implementing optimal solutions for various Machine Learning use cases. This involves partnering with Data Scientists to build and deploy robust, high-efficiency APIs and pipelines serving millions of requests.