Infosys
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India · On-site · 2-5 Yrs · Aug 21
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
We are seeking talented Computer Vision & MLOps Engineers with strong expertise in Computer Vision, Machine Learning Operations (MLOps), and Python. The ideal candidate will be responsible for developing, deploying, and maintaining AI/ML solutions for image and video analytics while building scalable MLOps pipelines.
Responsibilities
- Design, develop, and deploy Computer Vision and Deep Learning solutions
- Build and optimize image and video processing pipelines for real-world applications
- Develop and maintain scalable MLOps platforms for model training, deployment, monitoring, and retraining
- Implement model versioning, experiment tracking, and CI/CD pipelines for ML solutions
- Work with structured and unstructured datasets for model development and optimization
- Deploy AI/ML solutions on cloud and edge environments
- Monitor model performance, drift detection, and production health metrics
- Optimize model accuracy, inference latency, and resource utilization
- Develop APIs and services to integrate AI models into enterprise applications
Qualifications
- Strong expertise in Computer Vision, Machine Learning Operations (MLOps), and Python
- Experience working with large datasets
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