4 Jetson Jobs

Looking to hire a Support Engineer with background in supporting Python-based apps (Django/Flask), troubleshooting APIs & ONVIF issues, manage PostgreSQL, edge devices, cloud CI/CD, and real-time comms; client handling & tech documentation.

You will be responsible for building and maintaining backend logic in PHP (CodeIgniter) and Python (Flask, FastAPI, etc.). Additionally, you will design and implement computer vision workflows using tools such as OpenCV, YOLOv8, MediaPipe, or equivalent tools. Your tasks will involve working with image/video inputs to perform real-time detection of various elements like faces, objects, license plates, hazards, etc. Furthermore, you will integrate with third-party APIs, IoT devices, and edge-based platforms such as Jetson Nano, Raspberry Pi. It will be crucial for you to optimize vision pipelines for enhanced performance, accuracy, and reliability. Your role will also include deploying and enhancing full-stack solutions. To excel in this position, you should hold a Bachelor's degree and possess a minimum of 3 years of hands-on experience with PHP and Python. Demonstrated expertise with OpenCV and YOLO (v5/v8 preferred) is essential. A strong understanding of image processing, video analytics, and real-time detection is required. Proficiency in Linux environments, Git, and REST APIs is expected. Familiarity with edge AI, ONNX, or experience in deploying models on Jetson/Raspberry Pi will be advantageous. Knowledge of object tracking, counting, pose estimation, etc., will also be beneficial for this role.,

AI/ML Architect Experience 10+ years in total, 8+ years in AI/ML development 3+ years in AI/ML architecture Education Bachelors/Masters in CS, AI/ML, Engineering, or similar Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

Were on the lookout for Computer Vision Engineers with strong Kotlin development experience and a passion for innovation in the retail domain. Join our dynamic team to build intelligent vision-based systems that transform customer experience, streamline operations, and deliver real-time insights at scale. We're Hiring: Computer Vision Engineer (Kotlin) Retail Domain Location: [Specify your current Location or Remote] Experience: 3–7 Years/ 3 to 10 Years Open Positions: 2–4 Employment Type: Full-time Budget & Client: Will be discussed during the interview process Joining: Immediate to short notice preferred Responsibilities -Design and implement advanced computer vision algorithms for object -detection, tracking, and recognition in real-world retail settings. -Develop and maintain Kotlin-based applications for mobile and edge devices. -Collaborate with product managers, data scientists, and engineering teams to deliver end-to-end solutions. -Optimize models for real-time inference on edge platforms (e.g., Jetson Nano, Raspberry Pi, Android). -Analyze large-scale video/image datasets to extract meaningful insights. -Contribute across the full software development lifecycle: architecture, development, testing, and deployment. Required Skills & Qualifications -Bachelor’s/Master’s in Computer Science, Electrical Engineering, or related field -3+ years of experience in computer vision and image processing -Strong programming skills in Kotlin (Android or cross-platform apps) -Hands-on with OpenCV, TensorFlow, or PyTorch -Experience in deploying models on mobile/edge devices -Must have experience in retail use cases (e.g., shelf monitoring, customer analytics, smart checkout) -Excellent communication, analytical, and teamwork skills Preferred (Good to Have): -Experience with cloud platforms (AWS, GCP, Azure) -Familiarity with MLOps & CI/CD pipelines -Exposure to AR/VR or 3D vision technologies -Contributions to open-source CV projects Interested? Drop your updated CV at anzia.sabreen@bct-consulting.com or DM us directly. Let’s build the future of retail with computer vision!