Senior AI Engineer – ISP & Vision Systems
On-siteChennai, Tamil Nadu, India
Chennai, Tamil Nadu, IndiaOn-siteFull TimeSenior LevelBachelors DegreeSmall
Full TimeSenior LevelBachelors DegreeSmall
Job Summary
Design, train, and deploy production-grade AI and ML models for image enhancement, defect detection, and vision-based analytics across edge and cloud environments. Lead proof-of-concept programs to demonstrate value in imaging workflows while collaborating with cross-functional teams to translate real-world challenges into scalable solutions. Analyze and transform large datasets including video streams and sensor data to build ingestion pipelines and curate training sets. Monitor system performance, optimize models for latency and resource constraints, and create APIs to integrate AI outputs into downstream applications.
Required 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 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
Desired 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
- 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
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