Lead – AI/ML (Computer Vision)

ANB is a beacon of excellence in internal audits, offering co-sourced and outsourced services. With the modern approach to internal auditing shifting back to transaction-based scrutiny, organizations face a pressing need to reassess their methodologies. At ANB, we believe in continuous auditing and help organizations establish robust frameworks. Our services extend beyond traditional boundaries, encompassing technology and cyber risk, fraud risk assessments, forensic reviews, process alignment, reengineering, and business advisory, each meticulously designed to enhance operational efficiency and compliance.

Our fraud risk assessment and forensic reviews are proactive and reactive in their approach in today's business landscape. ANB specializes in comprehensive fraud risk reviews, integrating proactive assessments and implementing business intelligence mechanisms. Our seasoned forensic experts conduct post-event investigations, providing insights for early detection and prevention, ensuring our clients feel secure and prepared. Additionally, our process alignment and reengineering services tackle the dynamic nature of business environments. We review and align existing processes with evolving objectives and reengineer them for greater efficiency, ensuring competitiveness and agility.

Role Overview:

We are seeking a seasoned hands-on AI/ML professional to lead initiatives in computer vision, with a strong focus on vision models, image & video processing and knowledge of low-footprint edge deployments. This role will drive innovation across industrial use cases, collaborating with cross-functional teams to deliver scalable, production-grade vision solutions.

Key Responsibilities:

• Lead design and development of computer vision models including generative architectures (e.g., GANs, diffusion models) for image and video synthesis, enhancement, and understanding.
• Architect and optimize low-latency, low-footprint models for edge deployment (e.g., mobile, embedded systems, industrial sensors).
• Build and scale image & video analytics pipelines for real-time and batch processing (e.g., anomaly detection, activity recognition, object tracking, permit-to-work etc..).
• Collaborate with product, engineering, and business teams to translate industrial use cases into AI/ML solutions.

Required Skills & Qualifications:

• 8–12 years of experience in AI/ML, with 6+ years in computer vision.
• Strong hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow etc..).
• Expertise in generative models, image segmentation, object detection, and video understanding.
• Experience with multimodal models (vision + language) with knowledge of fine-tuning and distilling vision models.
• Familiarity with MLOps, model compression, quantization, and performance tuning.
• Strong problem-solving skills and ability to work in fast-paced environments.

Preferred Qualifications:

• Proven experience in deploying models on edge devices.
• Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).