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Senior AI engineer Computer vision solution Architect

AI Startup company

Senior AI engineer Computer vision solution Architect

Senior AI engineer Computer vision solution Architect

at AI Startup company

Agency job

via People Impact

4 - 7 yrs

₹10L - ₹15L / yr

Bengaluru (Bangalore)

Skills

yolov7

Python

Computer Vision

OpenCV

TensorFlow

Role Overview

We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation

solutions.

Key Responsibilities

 Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.

 Build and deploy models for object detection, image segmentation, classification, and tracking.

 Mentor and guide junior engineers on deep learning best practices and scalable software engineering.

 Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.

 Work with YOLO-based and transformer-based models for industrial use-cases.

 Lead integration of AI systems into production with hardware, backend, and DevOps teams.

 Develop automated benchmarking, annotation, and evaluation tools.

 Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.

Required Skills

 Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).

 Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and

tracking (Deep SORT).

 Sound understanding of real-time video analytics and inference optimization.

 Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.

 Familiarity with OpenCV, NumPy, and image processing techniques.

 Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)

Good to Have

 Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.

 Exposure to production-level MLOps practices.

 Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.

 Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.

 Publications, patents, or open-source contributions in the AI/ML space.

Qualifications

 B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.

 4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.

 Strong portfolio or demonstrable projects in production environments

Role Overview

We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation

solutions.

Key Responsibilities

 Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.

 Build and deploy models for object detection, image segmentation, classification, and tracking.

 Mentor and guide junior engineers on deep learning best practices and scalable software engineering.

 Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.

 Work with YOLO-based and transformer-based models for industrial use-cases.

 Lead integration of AI systems into production with hardware, backend, and DevOps teams.

 Develop automated benchmarking, annotation, and evaluation tools.

 Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.

Required Skills

 Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).

 Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and

tracking (Deep SORT).

 Sound understanding of real-time video analytics and inference optimization.

 Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.

 Familiarity with OpenCV, NumPy, and image processing techniques.

 Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)

Good to Have

 Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.

 Exposure to production-level MLOps practices.

 Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.

 Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.

 Publications, patents, or open-source contributions in the AI/ML space.

Qualifications

 B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.

 4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.

 Strong portfolio or demonstrable projects in production environments

Read more

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Full Stack Developer - Averlon

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Elastic Search

MongoDB

You write beautiful Python code (and might follow PEP8 coding style standards). You have extensively worked on Linux (Ubuntu or other flavours). Good understanding of RESTful services and API Comfortable with Web frameworks, such as Flask or Django. Fluent with Git Good understanding of NoSQL document databases (preferably MongoDB) You are a proactive self-starter, and capable of making independent decisions. You have a passion for innovation and working in a start-up environment. Good to have: Other programming languages like Java, Scala, R, Clojure etc. (You have a flair for quickly picking up any language.) Good object oriented design skills and knowledge of design patterns. Knowledge of key-value stores, caching, search, messaging queues (ElasticSearch, RabbitMQ, Memcached, Redis, etc.). Knowledge of Javascript (preferably AngularJS). Experience or enthusiastic in Natural Language Processing, Machine Learning is a huge plus. Good written and verbal communication skills.

You write beautiful Python code (and might follow PEP8 coding style standards). You have extensively worked on Linux (Ubuntu or other flavours). Good understanding of RESTful services and API Comfortable with Web frameworks, such as Flask or Django. Fluent with Git Good understanding of NoSQL document databases (preferably MongoDB) You are a proactive self-starter, and capable of making independent decisions. You have a passion for innovation and working in a start-up environment. Good to have: Other programming languages like Java, Scala, R, Clojure etc. (You have a flair for quickly picking up any language.) Good object oriented design skills and knowledge of design patterns. Knowledge of key-value stores, caching, search, messaging queues (ElasticSearch, RabbitMQ, Memcached, Redis, etc.). Knowledge of Javascript (preferably AngularJS). Experience or enthusiastic in Natural Language Processing, Machine Learning is a huge plus. Good written and verbal communication skills.

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