Responsibilities:

The work you will do includes:

• ·       Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy
• ·       Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems
• ·       Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency.
• ·       Update and retrain models to adapt to new data and changing conditions

QUALIFICATIONS

Skills / Project Experience:

• Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL

Must Have:

·       Good interpersonal and communication skills 

·       Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries 

·       Knowledge and experience working with Microsoft Office tools 

Good to Have:

• Problem-Solving: Strong analytical and troubleshooting skills to address client-specific challenges.
• Adaptability: Ability to quickly adapt to changing client requirements and emerging technologies.
• Project Leadership: Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction.
• Business Acumen: Understanding of business processes and the ability to align technical solutions with client business goals.

Education:  

B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university

Prior Experience:  

6 - 10 years of experience working with

·       Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings.

• Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems.
• Track record of working with cross-functional teams including data scientists, control engineers, and software developers.
• Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods.
• Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems.