11 Edge Ai Jobs

As a Director of AI Lab at McDonalds Corporation, you will play a crucial role in driving research and evaluation of cutting-edge AI technologies to enhance the organization's innovation and AI strategy. Your primary responsibilities will include defining and executing a comprehensive AI ecosystem strategy aligned with business goals, leading a team of AI experts, overseeing the development of advanced AI models, fostering collaboration with internal and external stakeholders, and promoting ethical AI practices. Your strategic vision will involve identifying high-impact AI use cases, establishing a roadmap for AI development, and prioritizing research initiatives. You will be expected to build and manage a high-performing team of AI professionals, create a culture of innovation and experimentation, and provide mentorship for career development. Additionally, you will lead the development of advanced AI models, conduct research to explore new techniques, and validate AI solutions through proof-of-concept projects. Collaboration and stakeholder management will be essential aspects of your role, as you partner with cross-functional teams to implement AI solutions, communicate technical concepts to non-technical stakeholders, and build relationships with external partners to enhance the AI ecosystem community. Furthermore, you will champion ethical AI practices by ensuring data privacy, fairness, and responsible development of AI models, while establishing guidelines for data governance and model transparency. To qualify for this position, you should possess a Bachelor's degree in data science, Computer Science, Business, or Analytics, with a preference for a Masters or PhD. You should have 15+ years of experience in AI/ML or related fields, with hands-on experience in building and deploying AI solutions. Proficiency in programming languages such as Python, R, or Java, as well as experience with AI/ML frameworks like TensorFlow and PyTorch, is required. Familiarity with AI techniques such as deep learning, reinforcement learning, generative AI, Agentic AI, and Edge AI is essential, along with experience in ML frameworks and large-scale AI system design. Start-up and entrepreneurship experience will be considered a plus, and the ability to effectively communicate complex AI concepts to non-technical stakeholders is crucial. This full-time role is based in Hyderabad, India, and follows a hybrid work mode. If you are a seasoned AI professional with a passion for driving innovation and leading high-performing teams, we invite you to join us at McDonalds Corporation and make a significant impact on our global AI strategy.,

As a Senior AI/ML Engineer/Lead at our company located in Mohali, you will play a crucial role in leading the design, architecture, and delivery of complex AI/ML solutions. With over 8 years of experience, you will be responsible for developing and implementing machine learning models across various domains like NLP, computer vision, recommendation systems, classification, and regression. Your expertise will be utilized to integrate Large Language Models (LLMs) such as GPT, BERT, LLaMA, and other state-of-the-art transformer architectures into our enterprise-grade applications to drive innovation. Your key responsibilities will include selecting and implementing ML frameworks, tools, and cloud technologies that align with our business goals. You will lead AI/ML experimentation, PoCs, benchmarking, and model optimization initiatives while collaborating with data engineering, software development, and product teams to integrate ML capabilities seamlessly into production systems. Additionally, you will establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Your hands-on experience in the AI/ML domain, along with a proven track record of delivering production-grade ML systems, will be highly valued. Proficiency in machine learning algorithms, deep learning architectures, and advanced neural network design is essential. You should also possess expertise in LLMs, transformer-based models, prompt engineering, and embeddings, with strong programming skills in Python and familiarity with cloud platforms for scalable ML workloads. Having experience with MLOps tools and practices, such as MLflow, Kubeflow, SageMaker, or equivalent, will be beneficial. Furthermore, exposure to vector databases, real-time AI systems, edge AI, streaming data environments, and active contributions to open-source projects, research publications, or thought leadership in AI/ML will be advantageous. A certification in AI/ML would be a significant plus. If you are a self-driven individual with excellent leadership, analytical thinking, and communication skills, and if you are passionate about staying updated on AI advancements and championing their adoption in business use, we encourage you to apply for this exciting opportunity.,

As an Embedded Systems Trainer, you will be responsible for delivering advanced training sessions covering a wide range of topics including advanced C programming, C++ programming, Autosar, Python programming, GUI development, ARM7, ARM CORTEX, PIC, AVR Atmega, communication protocols, real-world interfacing, single board computers, Embedded AI with TinyML and EDGE AI, RTOS, Embedded networking, IOT, Embedded Linux and device drivers, robotics, and PCB designing. This role involves providing comprehensive instruction and guidance to enhance the skills and knowledge of participants in embedded systems. You will play a crucial role in facilitating learning in various areas of embedded systems technology, ensuring that participants gain a deep understanding of the subject matter. The ideal candidate should have a strong grasp of the aforementioned topics and be able to effectively communicate complex concepts in a clear and concise manner. Additionally, the ability to engage and motivate participants throughout the training sessions is crucial for success in this role. This is a full-time, permanent position with benefits such as commuter assistance and internet reimbursement. The work location is in person, and the expected start date for this role is 28/07/2025.,

We're hiring an experienced AI/ML Model Engineer to develop computer vision & AI-CAD solutions for enterprise clients. Work with U.S.-based teams to build & deploy scalable ML models. Requires 5+ yrs in ML, Python, TensorFlow/PyTorch & CAD expertise. Required Candidate profile ML engineer with 5+ years in computer vision and AI-driven CAD. Skilled in Python, TensorFlow, PyTorch, OpenCV. Delivers production models. Self-driven, team-oriented, thrives in fast-paced roles.

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.,

Role & responsibilities : Job Title / Designation: Solution Architect/Project Manager/Associate Director based on experience & expertise Business Unit : Embedded Engineering Services (EES) Industry Experience Range : 8+ years Job Location : Preferably Pune / Ahmedabad / Bangalore Shift : General Shift (Mon-Fri) Job Function, Roles & Responsibilities: Lead strategic initiatives and own the practice for Edge AI/ML, data pipelines, and intelligent embedded systems Define and build the competency roadmap for machine learning, deep learning, model deployment, and real-time inferencing on edge platforms Oversee data creation including data collection, dataset curation, annotation, cleaning, augmentation, and synthetic data generation Champion use cases involving sensor fusion, combining data from multiple sources (vision, IMU, radar, audio, etc.) to create robust, efficient, and context-aware edge intelligence solutions Drive edge analytics and on-device learning across verticals such as Industrial Automation, Medical Devices, Automotive, and Smart Consumer Electronics Collaborate with global customers to gather requirements, architect solutions, track project delivery, and ensure alignment with business objectives Support business development with presales solutioning, proposal writing, and effort estimation Drive internal capability building through mentoring, training, and competency development Preferred candidate profile: ________________________________________ Experience: 8+ years in embedded systems, AI/ML, and data engineering, with a strong focus on edge intelligence and real-time systems. At least 3 years in a technical leadership or strategic role. Prior experience in a product engineering services environment preferred. ________________________________________ Area of Expertise: Proven expertise in deploying ML/DL models on edge devices (NVIDIA Jetson, NXP i.MX, Qualcomm QCS, TI Sitara, etc.) Strong knowledge of data workflows: dataset generation, manual/automated annotation, data cleaning, augmentation, and synthetic data creation Deep understanding of sensor fusion techniques combining inputs from vision, audio, IMU, radar, LIDAR, and other sources to improve model accuracy and efficiency Experience in model optimization using TensorRT, ONNX, OpenVINO, TFLite, and TVM Hands-on with TensorFlow, PyTorch, scikit-learn, and signal/image processing techniques Proficient in designing for real-time inference on resource-constrained platforms Exposure to AI accelerators, NPUs, DSPs, and hybrid SoC environments; must have exposure to NVIDIA SoC & Tools Presales, account engagement, and solutioning experience with North American or European clients ________________________________________ Nice to Have: Cloud-edge integration using AWS Greengrass, Azure IoT Edge, GCP Edge TPU Understanding of AI regulatory/safety standards (ISO, IEC, FDA compliance for AI/ML in regulated industries) ________________________________________ Educational Criteria: BE/ME/B.Tech/M.Tech Electronics, Computer Science, AI/ML, Embedded Systems, or Data Science ________________________________________ Travel: Flexibility to travel globally with sales or delivery teams for customer meetings, workshops, and project deployments as needed. Interested and qualified candidate can directly reach Mr. Anup Sharma at 99099-75421 or anup.s@acldigital.com. (staffing partner can communicate over the email)

Best Enterprises , a leader in packaging automation and industrial vision systems, is expanding its R&D team. We are looking for a Computer Vision Engineer with strong programming skills and a passion for applying AI/ML in visual inspection and defect detection . Freshers with strong programming skills and a passion for computer vision are welcome to apply. Programming Work Develop image processing applications using C++ and OpenCV . Apply AI/ML/Deep Learning models to detect complex defects and classification tasks. Build real-time and low-cost industrial applications using compact embedded vision systems. System Integration Work Select and procure cameras, lenses, lights, computers, embedded PCs . Source bowl feeders, linear conveyors , and material handling systems. Collaborate with mechanical engineers to finalize camera and light positioning . Interface vision systems with PLCs, encoders, and industrial sensors . Required Skills Proficient in OpenCV and image processing techniques. Strong coding skills in C++ (or C# ). 2 years of hands on experience in Computer vision Preferred Skills In-depth understanding of AI / ML / Deep Learning for vision tasks. Hands-on with integrating AI models into real-time industrial vision applications. Experience with TensorFlow or PyTorch or YOLO or ONNX is a plus. Familiarity with NVIDIA Jetson or Raspberry Pi or Coral TPU based deployments. Interview Process The selection process includes a phone interview followed by an in-person assessment of programming skills

Location - Borivali Job Title : Computer Vision Engineer (Embedded Device) Job Summary : We are looking for a passionate developer to specialize in Edge AI and Video Analytics, leveraging your strong C/C++ expertise to implement and optimize sophisticated computer vision (CV) algorithms directly on embedded platforms. Your work will enable on-device intelligence for critical features. This role focuses on optimizing AI models and CV pipelines for resource-constrained environments, delivering high-performance, real-time video analytics capabilities at the edge. Key Responsibilities : Design, develop, and optimize Edge AI/CV algorithms in C/C++ for embedded camera hardware. Implement core Video Analytics capabilities and intelligent features. Handle real-time video data, codecs, and RTSP streaming protocols. Optimize deep learning models (TensorRT, OpenVINO) for efficient embedded inference. Integrate/optimize pre-trained AI models (TensorFlow Lite, ONNX Runtime) using quantization, pruning, accelerators. Write high-performance, memory-efficient C/C++ code for camera processing units (DSPs/NPUs/GPUs). Work with camera hardware interfaces, low-level drivers, ISPs for optimal video processing. Required Qualification and Expertise : Bachelor's or Master's degree in Computer Science or Electronic Engineer or related field. 2+ years of professional experience in Edge AI, Video Analytics or Computer Vision development for embedded hardware platforms. Demonstrated experience developing API for hardware-integrated/embedded systems Demonstrated expertise in designing and implementing efficient algorithms for real-time video processing and analytics on resource-constrained devices. Excellent analytical and debugging skills to troubleshoot complex system-level and algorithmic issues Solid understanding of real-time operating systems (RTOS) or Embedded Linux environments and their implications for application development. 7. Proven ability to profile, debug, and optimize complex C/C++ applications for performance, memory, and power efficiency on target hardware. Must-to-have Skill Set : Programming & Optimization : Exceptional C/C++ proficiency for high-performance, resource-constrained environments, memory management, low-level optimization, efficient data structures. Edge AI & Computer Vision : Strong grasp of core CV algorithms (object detection, tracking, image processing), solid understanding of ML/DL concepts, experience optimizing/deploying AI models for edge inference. Embedded Platform Experience : Proven experience developing software for resource-constrained embedded hardware, familiarity with processor architectures (ARM Cortex, AI accelerators) Debugging & Tools : Proficiency with embedded debugging (GDB, JTAG/SWD) and performance profiling tools and embedded build systems (Makefiles, CMake). Problem-Solving & Collaboration : Excellent analytical/debugging skills, strong communication/collaboration skills in cross-functional teams. Good-to-have Skill Set : Experience with specific camera sensor interfaces or protocols. Knowledge of video analytics standards or industry benchmarks. Experience with specific hardware development kits (SDKs) or toolchains from chip vendors. Understanding of cloud platforms for model training or data management. Prior experience with security best practices for embedded devices or secure boot processes.

Position : Edge AI developer Skill Set Experience of at least 2.5 years in development of Video based analytics at Camera level such as perimeter based alert, person detection, movement detection etc Experience on Linux, C and Python Preferred if worked on Tiny Model Work experience on Realtek or Raspberry pi boards for above activities

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.

JOB TITLE: DIRECTOR, HEALTH AI ENGINEERING LOCATION: Noida / Delhi India (Relocation package available for outstation candidate) Cancard Inc and Advaa Health are seeking an experienced, engaged, and hands-on, AI technologist with digital health and US EHR experience for the role of Director, Software Engineer - Computer Vision and Edge AI. This role will be pivotal in driving development, launch, and successfully commercializing an innovative portfolio of AI based digital healthcare products for global markets. Cancard Inc has been a multi-technology company based in Markham (Toronto) since 1989. Both Cancard and its sister company, Advaa Health, are at the forefront of transforming primary healthcare through technological innovation. Our mission is to empower primary care physicians with state-of-the-art digital tools and solutions that streamline their practices and significantly reduce administrative burdens and operational costs. Amidst increasing paperwork and complex administrative tasks faced by healthcare professionals, we serve as a key partner, enabling physicians to focus on patient care. Our healthcare product portfolio leverages cutting-edge technologies in data analytics, artificial intelligence, and cloud computing to offer seamless, intuitive, and cost-effective solutions. By integrating our systems, primary care practices can enhance patient engagement, optimize appointment scheduling, automate billing and coding processes, and access comprehensive patient health records in real-time. These advancements not only improve the quality of care provided but also contribute to a significant reduction in overhead costs. As we continue to innovate at the intersection of technology and healthcare, our vision is to become the leading AI digital health company that revolutionizes primary care practices worldwide. We are dedicated to creating a future where healthcare is accessible, affordable, and above all, centered around the well-being of patients. This position offers a unique opportunity for senior AI technologist who are passionate about solving critical healthcare challenges to learn and grow within the company. The role provides direct experience and exposure to customers in the US, Canada, and other global markets. KEY RESPONSIBILITIES: 1. Lead Design and Development: Spearhead the architecture, design, and development of advanced healthcare applications using Java and Angular, focusing on crafting scalable and efficient solutions that meet the evolving needs of the healthcare industry. Apply best practices in software design patterns and coding standards to ensure the production of high-quality code. 2. Implementation of Healthcare Standards: Integrate and ensure compliance with healthcare interoperability standards, including HL7 (Health Level Seven) and FHIR (Fast Healthcare Interoperability Resources), to facilitate seamless data exchange and communication between different healthcare systems and applications. Work closely with healthcare professionals and stakeholders to understand clinical workflows and requirements, ensuring the developed solutions effectively address their needs. 3. Microservice, AWS Cloud Design and Deployment: Design cloud-native solutions and migrate existing applications to AWS, leveraging a range of AWS services to optimize for performance, reliability, security, and cost. Implement robust security measures and data protection practices to safeguard sensitive healthcare information, adhering to HIPAA and other relevant regulations. 4. Cross-functional Collaboration: Collaborate with product managers, designers, QA engineers, and other stakeholders throughout the software development life cycle to gather requirements, refine features, and troubleshoot issues. Participate in agile ceremonies, such as sprint planning, stand-ups, and retrospectives, contributing to the continuous improvement of the teams processes and outputs. 5. Mentorship and Knowledge Sharing: Act as a mentor to junior developers, providing guidance and support in their professional development, fostering a culture of learning and growth within the team. Lead by example in adopting new technologies and methodologies, encouraging innovation and experimentation. 6. Continuous Learning and Improvement: Stay updated with the latest trends and developments in software engineering, healthcare technologies, and cloud computing, identifying opportunities to apply new tools and techniques to improve the product and development process. Initiate and lead efforts to improve code quality, performance, and scalability through code reviews, refactoring, and optimization. 7. Quality Assurance and Security Compliance: Work closely with the QA team to ensure the developed applications meet quality standards and user expectations through comprehensive testing strategies, including unit, integration, and end-to-end tests. Ensure applications comply with industry-standard security practices, conducting regular security assessments and addressing vulnerabilities promptly. 8. Project Leadership: Take ownership of projects from inception to deployment, managing timelines, resources, and risks effectively to ensure timely delivery of projects. Communicate project status, challenges, and achievements to stakeholders, facilitating transparency and alignment across the organization. QUALIFICATIONS: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 7+ years of experience in software development, with a strong focus on Java and Angular. 5 years of Computer Vision, Edge AI and Deep Learning Product Experience: Minimum of 5 years of experience in Computer Vision and AI based product development. Extensive experience with real-time image processing and edge AI solutions, particularly in deploying AI models directly onto edge devices. Proven track record in developing and commercializing products, especially those integrating advanced computer vision and deep learning technologies. AI EDGE Technical Expertise: Strong proficiency in programming languages such as Python, C++, and use of AI frameworks like TensorFlow, PyTorch, and OpenCV. Demonstrated experience with Nvidia Jetson platforms for edge computing applications involving AI. Hands-on experience in integrating and managing IoT sensors and devices in a networked environment, with a focus on real-time data processing and analytics. Must have experience of developing, launching, and managing healthcare cloud-based products in production. Understanding of healthcare interoperability standards, including HL7 and FHIR. Proven experience in developing and deploying applications on AWS cloud, including services like EC2, S3, RDS, Lambda, and CloudFormation. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation). Excellent problem-solving skills, with the ability to lead projects and mentor team members. Strong communication and collaboration skills, comfortable working in a fast-paced, agile environment. WHAT WE OFFER: Competitive salary and benefits package. Flexible working hours and remote work options. A dynamic and supportive work environment with opportunities for professional growth and development. The chance to work on meaningful projects that have a real impact on healthcare. HOW TO APPLY: Please submit your resume, cover letter, and any relevant work samples or project portfolios to pooja@cancard.com. In your cover letter, explain why you're interested in this role and how your background and experience make you a perfect fit for our team.