Infosys
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Jaipur · On-site · 5-8 Yrs · Sep 29
Information Technology Support Services · 10000+ Employees · Bengaluru, India
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Hiring: Engineering
What employees say
+ they are asking to do 1 question out of 2 by making the candidates login in their wingspan , mostly focused on asking dp , sliding , kadane
− Difficulty level varies progressively , but overall it is a medium to hard interview
More reviews on the company profile.
Interview experience · Dse
DSA , SQL, OOPS and DBMS was aksed but the questions was of easy to medium level, I performed very bad, so I got rejected but my friends who performed average got selected.
Average difficulty · India · 18,428 reports
More interview insightsJob description
Overview
Qualification: B.Tech/B.E., BCA, B.Sc., M.Tech, MCA, or M.Sc.
Responsibilities
- We are looking for a Technology Lead – Computer Vision to lead the design, development, and delivery of innovative computer vision solutions that transform images and video into actionable insights.
- You will work closely with engineers, data scientists, and product teams to define technical direction, develop scalable vision solutions, mentor engineers, and drive projects from prototype to production.
- Lead the end-to-end development of Computer Vision solutions using OpenCV and YOLO, from data understanding and experimentation to production deployment.
- Design and implement object detection pipelines, including preprocessing, model inference, and post-processing.
- Build, train, and fine-tune CNN/deep learning models using PyTorch.
- Conduct experiments, evaluate model performance, and maintain reproducible documentation.
- Drive optimization of vision models for speed, memory, latency, and throughput.
- Improve model robustness across real-world conditions such as lighting variations, occlusion, motion blur, and scale variations.
- Apply model optimization techniques such as pruning, quantization, and mixed-precision inference/training.
- Define technical standards for model development, coding, version control, and code reviews.
- Collaborate with product and engineering teams to translate business requirements into scalable technical solutions.
- Mentor engineers, guide technical troubleshooting, and resolve complex issues across data, training, and inference.
- Support the integration of computer vision models into production environments, including monitoring and continuous improvement.
- Participate in sprint planning and drive cross-functional delivery of computer vision initiatives.
Qualifications
- Strong hands-on experience in Computer Vision and Deep Learning.
- Proficiency in Python.
- Strong experience with OpenCV and YOLO/Object Detection.
- Hands-on experience with PyTorch and CNN/deep learning models.
- Strong understanding of image processing, model training, inference, and post-processing.
- Good understanding of model evaluation metrics and experimentation techniques.
- Preferred Skills
- Exposure to cloud/platform engineering and production ML workflows.
- Strong experience in technical leadership, mentoring, sprint planning, and stakeholder management.
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Job application FAQ
Last updated 30 September 2026
- How do I apply for Technology Lead – Computer Vision at Infosys?
- 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. Infosys may attach structured assessments to interview rounds after you apply.
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- 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 Technology Lead – Computer Vision remote or on-site in Jaipur, Rajasthan?
- This listing is marked on_site with location Jaipur, Rajasthan. Confirm details on the job description before applying.
- What skills matter for this Technology Lead – Computer Vision role at Infosys?
- This is a lead Technology Lead – Computer Vision role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.