Company Name: VARITE India Private Limited

About The Client:

An Indian multinational information technology (IT) consulting company headquartered in Noida, The company has offices in 52 countries and over 225,944 employees. The Client is a global IT services and consulting company that offers a wide range of services and products across various industries like IT Infrastructure Services, Cybersecurity Services, Cloud Services, Big Data and Analytics, Internet of Things (IoT) Solutions, Semiconductor Services and Enterprise Software Products.

Essential Job Functions:
- Designing, developing, and implementing AI models focused on computer vision.
- Creating AI algorithms to help solve business problems related to image and video analysis.
- Building AI systems and infrastructure that can scale and manage large datasets.
- Working with stakeholders to identify opportunities for leveraging company data to drive business solutions.
- Mining and analyzing data from company databases to drive optimization and improvement.




- Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
- Establishing scalable, efficient, automated processes for model development, validation, and implementation.
- Researching and implementing appropriate machine learning algorithms and tools.
- Developing machine learning applications according to requirements.
- Selecting appropriate datasets and data representation methods.
- Running machine learning tests and experiments and interpreting the results.
- Adjusting and improving existing models.
- Translating complex functional and technical requirements into detailed designs

Qualifications:
- EXP-12-20 years

Skills
- Proven experience as an AI Architect or similar role.
- Robust background in computer vision, machine learning, and data science.
- Proficiency in programming languages such as Python, R, and Java.
- Experience with AI frameworks and libraries like TensorFlow, PyTorch, and OpenCV.
- Excellent

📌 Vision AI engineer (Noida)
🏢 VARITE
📍 Noida