Assistant Project Manager - DAMS & Quality management

We are looking for candidates to contribute to two of our flagship projects (listed below) in the deep-tech areas of computer vision, AI/ML, and sensor technology. This role offers a unique opportunity to address real-world problems originating from industry needs.

1. Drivers alert management system (DAMS).

2. Quality management in textile Industry.

Responsibilities:

• Lead projects through hands on engagement with a clear focus on computer vision, AI/ML, optical engineering, and sensor technology.
• Facilitate thorough testing and validation of developed solutions. • Liaise with clients, partners, and internal stakeholders to align project outcomes with their expectations.
• Maintain comprehensive project documentation, including specifications, testing protocols, and reports.
• Stay updated with the latest advancements in AI/ML, computer vision, optical engineering, and sensor technology.
• Ensure all deliverables meet established quality benchmarks.

Essential Qualification:

• Experience with Computer-Vision algorithms.
• Proficiency in programming languages and frameworks commonly used in AI/ML and Computer-Vision, such as Python, TensorFlow, PyTorch, or OpenCV.

Qualification

Bachelor's or Masters degree in Computer Science, Electronics, Electrical Engineering, or a related field.

Desirable Experience:

• Familiarity with sensor technology and image data processing techniques.

• Experience in developing lightweight and efficient AI frameworks, particularly for region-specific or India- specific datasets.

• Knowledge of quality management processes in industries like textiles, public transport safety, or synthetic/natural fiber production.

• Hands-on experience with data preparation, defect detection, and contamination analysis.

• Ability to coordinate multidisciplinary projects and collaborate with industry and academic institutions.

• Strong problem-solving, organizational, and communication skills.