AI Sr Scientist

Principal Scientist – AI/ML & Machine Vision
Experience: 6–7+ Years
Location: Bangalore / Hosur – Hybrid
Employment Type: Full-Time
Industry: Railway Infrastructure & Rail Safety Technology
Reporting To: Group Leadership / CHRO
About the Opportunity
Our client, a well-established player in India's railway infrastructure ecosystem, is expanding its technology capabilities across AI/ML, Computer Vision, IoT and Embedded Systems.
We are looking for a Principal Scientist – AI/ML & Machine Vision to build and lead the organisation's in-house AI/ML capability, with a focus on image and video-based railway safety, fault detection and predictive maintenance.
Key Responsibilities
Design and develop AI/ML and computer-vision models for high-speed train and track camera footage.
Develop algorithms for detecting wheel defects, track deformation and structural damage.
Build predictive-maintenance systems using real-time image and video feeds.
Validate AI/ML outputs with railway engineering teams against real-world and RDSO-aligned safety requirements.
Own the technical roadmap for image-based railway safety systems.
Build and strengthen the company's in-house AI/ML and Computer Vision capability.
Mentor and guide teams working across AI/ML, Computer Vision, Embedded Systems and IoT.
Evaluate global rail-tech and AI/ML developments and adapt relevant solutions for Indian railway conditions.
Ideal Candidate Profile
6–7+ years of relevant experience in AI/ML, Computer Vision or Machine Vision.
Strong hands-on expertise in developing production-grade computer-vision models.
Experience in fault detection, defect detection, anomaly detection or predictive maintenance is highly preferred.
Exposure to railways, transportation, heavy engineering, manufacturing or other safety-critical industries would be advantageous.
Experience working with image/video-based AI systems in real-world production environments.
Strong ability to take solutions from research and prototyping through deployment.
Demonstrated experience in leading technical projects and mentoring AI/ML teams.
Candidates with exposure to rail-technology organisations or GE Transportation-type environments would be preferred.
Should be comfortable taking ownership of building an in-house AI/ML capability rather than working purely in an academic/research environment.
What the Role Offers
Opportunity to build a machine-vision capability from the ground up.
Direct involvement in railway safety and predictive-maintenance technology.
Opportunity to work with an organisation having established relationships with Indian Railways and RDSO.
Exposure to a multidisciplinary innovation environment covering AI/ML, Computer Vision, IoT and Embedded Systems.
Long-term opportunity aligned with a multi-year high-speed rail project pipeline.
Hybrid working arrangement between Bangalore and Hosur.
Interested candidates can share their updated CV along with their current location, total experience and notice period at sai@swyn.in

Work arrangement
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