NAYAN
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Information Technology Support Services · 1 to 50 Employees · New Delhi, India
Hiring: Engineering
What employees say
+ The company fosters a positive and growth-oriented environment where employees are encouraged to expand their knowledge and take ownership of their work. Exposure to diverse tasks
− In certain situations, workflow management and coordination across teams can be improved for smoother execution of projects. More streamlined processes, clearer expectations, and e
More reviews on the company profile.
Interview experience · Software Engineer
DSA OOPS where asked along with Multi threading concepts..... questions on projects done in UG Also some system design questions Docker AWS basic where also asked Happy to clear Two sum problem on leetcode Decode s
Average difficulty · Pune · 17 reports
More interview insightsJob description
Overview
NAYAN is a leading AI and Computer Vision company building innovative solutions for automated driving, traffic monitoring, road safety, robotics, and smart infrastructure. We work on real-world challenges using advanced AI/ML and Computer Vision technologies.
Responsibilities
- Design, develop, test, deploy, and optimize ML models and Computer Vision systems.
- Develop deep learning and perception algorithms for real-time applications.
- Work on Multi-Object Tracking, Multi-Sensor Fusion, sensor calibration, and perception algorithms.
- Develop and optimize inference systems for real-time and embedded platforms.
- Analyze large datasets and work with raw sensor data.
- Develop solutions using C/C++, Python, CUDA, Linux, and embedded platforms.
- Design and maintain scalable, reliable, and production-ready software.
- Collaborate with cross-functional engineering teams and communicate technical solutions effectively.
- Take ownership of project priorities, technical deliverables, and timelines.
- Participate in technical discussions and contribute to architecture and engineering decisions.
Qualifications
- Strong experience in Computer Vision, AI/ML, and Deep Learning
- Excellent C/C++ and Python programming skills
- Strong knowledge of CUDA/GPU programming
- Experience with ML model development and inference optimization
- Experience with real-time and embedded systems
- Knowledge of perception algorithms, Object Detection, and Multi-Object Tracking
- Experience with Multi-Sensor Fusion and Sensor Calibration
- Experience working in Linux-based development environments
- Strong software design, analytical, and problem-solving skills
Education
- B.Tech/B.E. in Computer Science, IT, Electronics, or a related engineering discipline is mandatory.
- 3+ years of relevant industry experience in AI/ML, Computer Vision, Deep Learning, or related fields.
- Candidates with a stellar academic record and consistently strong academic performance will be preferred.
- Candidates should demonstrate career stability and consistent tenure across previous organizations, reflecting a stable and progressive career trajectory.
- Research or industry experience in AI, Computer Vision, ML, or Deep Learning is preferred.
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Job application FAQ
Last updated 21 October 2026
- How do I apply for Lead AI/ML Engineer Computer Vision at NAYAN?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. NAYAN may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead AI/ML Engineer Computer Vision role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead AI/ML Engineer Computer Vision remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Lead AI/ML Engineer Computer Vision role at NAYAN?
- This is a lead Lead AI/ML Engineer Computer Vision role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.