Senior Lead Software Engineer - AI Driven

Who We Are

At Platform Science, we're working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity , while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team .

About The Role

Platform Science is looking for a Senior Lead Software Engineer to be a pivotal force in the evolution of our Driver App and its related web platforms in Chennai. This is a rare opportunity for a seasoned technical leader and hands-on architect to own the technical vision and execution of our AI-driven features . This role is not just about writing code; it's about setting the technical direction and architecting robust, scalable, and intelligent systems that will define the future of our product suite, directly influencing the efficiency of thousands of drivers and solidifying our market leadership.

The role reports to the Software Development Manager.

Essential Responsibilities

• Lead the Design and Development : Architect, design, and lead the hands-on development of scalable, high-performance AI-driven features for our core products (mobile and web).
• Implement Full-Stack AI : Develop and optimize on-device machine learning models (e.g., using Firebase ML Kit) while also building robust backend APIs for complex model serving on cloud platforms (e.g., GCP).
• Define the AI Technology Roadmap : Collaborate with product managers and data scientists to define the technical roadmap for AI integration, assessing new technologies and making build vs. buy decisions.
• Ensure Scalability and Reliability : Write clean, efficient, and well-documented code; establish best practices for software development, microservices architecture, and MLOps.
• Collaborate Cross-Functionally : Work closely with SMEs to transition models from research to production and partner with other engineering teams to bring innovative ideas to market.

Experience

Required experience

Other Requirements

Other Requirements

The company offers various benefits to regular, full-time employees including :

Please note that the compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser : https : / / www.platformscience.com / privacy-notice). Please note : This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Skills Required

Machine Learning, Ios Development, Rabbitmq, Git, MLops, Gcp, Docker, Apache Kafka, Distributed Systems, Azure, Kubernetes, Python, Aws