The Senior AI / ML Engineer – ISP & Vision Systems will design, develop, and deploy production-grade AI solutions for image signal processing (ISP), computer vision, and vision-based systems. This role focuses on applying machine learning, deep learning, and Gen-AI to improve image quality, defect detection, visual analytics, and vision-driven decision systems.

The role requires close collaboration with ISP, camera, embedded, data analytics, and product teams to translate real-world imaging challenges into scalable AI-powered vision solutions.

Requirements

Key Responsibilities

AI Strategy & Vision Use-Case Development

- Collaborate with cross-functional teams and ISP / vision domain experts to identify opportunities for AI integration in imaging and vision workflows

- Help AI product managers and business stakeholders understand the capabilities, limitations, and trade-offs of AI in ISP and vision systems

- Lead proof-of-concept (PoCs) and pilot programs to demonstrate measurable value of AI-based vision solutions

Data Engineering & Infrastructure

- Analyze, preprocess, and transform large datasets including images, video streams, metadata, logs, and sensor data

- Design and build data ingestion and transformation pipelines for vision datasets

- Set up and manage AI development and production infrastructure (edge and cloud-based vision systems)

- Collaborate with the Data Analytics team to integrate large-scale vision data solutions

Model Development & Deployment

- Design, train, and deploy AI / ML models for:

- Image enhancement and restoration

- Defect and anomaly detection





- Object detection, tracking, and segmentation

- Vision-based analytics and automation

- Build AI models from scratch and apply transfer learning for vision tasks

- Identify and curate new datasets for training and validation

- Deploy models into production environments, including embedded and edge devices

- Create APIs and services to integrate AI outputs into downstream vision and business applications

Monitoring, Optimization & Adoption

- Monitor AI and vision system performance and continuously improve deployed models

- Optimize models for latency, accuracy, and resource constraints on edge devices

- Provide technical documentation, training, and operational support to engineering and production teams

Research & Innovation

- Stay current with latest AI/ML, computer vision, and ISP advancements

- Propose innovative AI-driven approaches for ISP pipelines and imaging systems

- Participate in rapid-paced prototyping to explore improvements in vision and imaging workflows

Qualifications & Experience

Minimum Qualifications

- Bachelor’s degree in Computer Science, Data Science, Electronics, Imaging, or related field

- Strong programming skills in Python, C/C++,



R, VB.NET, or equivalent

- Proficiency with ML frameworks such as TensorFlow, PyTorch, scikit-learn

- Hands-on experience in AI vision, computer vision, or Gen-AI

- Experience in Full-Stack Development

- Experience deploying ML models in production vision systems (edge or cloud)

- Strong analytical, problem-solving, and cross-functional collaboration skills

- Excellent verbal and written communication skills

Preferred Qualifications

- Strong knowledge of ISP pipelines including demosaicing, noise reduction, HDR, color correction, and sharpening

- Experience with deep learning for image classification, segmentation, and object detection

- Knowledge of LLMs, Prompt Engineering, RAG, and LLM fine-tuning

- Experience with model explainability, validation, and performance benchmarking in vision systems

- Familiarity with camera sensors, optics, and imaging hardware

- Experience working with image/video datasets, metadata, and vision telemetry

Added Advantage

- Knowledge of ISP tuning, camera calibration, and image quality evaluation

- Understanding of sensors, drivers, Video and camera control pipelines

- Experience with data processing and streaming tools:

- Kafka

- Spark

- Apache NiFi

- Dataiku

- Familiarity with NoSQL and distributed storage systems:

- Cassandra

- MongoDB

- HDFS

- Experience with software engineering tools:

- JIRA

- Jenkins

- Git

- Confluence

- Strong foundation in algorithms and data structures

📌 Senior AI Engineer – ISP & Vision Systems (Chennai)
🏢 Regami Solutions
📍 Chennai