Regami was founded to provide world class product development services to companies across the globe. We believe in designing products with a keen focus on nurturing innovative ideas to help you bring an optimized, technologically advanced, cost-effective solution to the market.
Our services have applicability across use cases such as Medical Devices, Industrial IoT, Medical IoT, Smart Surveillance, Security, Biometrics, Machine–Vision, Autonomous Guided Vehicles, Smart Parking, Wearables, Drones, Dental Cameras, Surgical Vision Solutions, Telemedicine, Augmented Reality, Virtual Reality, etc.
Job Description
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
- Collaborate withcross-functional teams and ISP / vision domain experts to identify opportunities for AI integration in imaging and vision workflows
- Help AI productmanagers 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
- 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
- Design, train, and deploy AI / ML models for:
- 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
- Stay current with latest AI/ML, computer vision, and ISP advancements
- Propose innovative AI‑driven approaches for ISP pipelines and imaging systems
- Participate in fast‑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
- Familiarity with NoSQL and distributed storage systems:
- MongoDB
- HDFS
- Experience with software engineering tools:
- JIRA
- Jenkins
- Git
- Confluence
- Strong foundation in algorithms and data structures