24 Edge Ai Jobs

As a professional services firm affiliated with KPMG International Limited, KPMG entities in India have been serving clients since August 1993. Leveraging the global network of firms, our professionals possess in-depth knowledge of local laws, regulations, markets, and competition. With offices spread across major cities in India including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, we offer a wide range of services to national and international clients across various sectors. We are currently seeking an AI & Computer Vision Engineer with expertise in detecting, segmenting, and classifying, backed by hands-on experience in deep learning. The ideal candidate will be proficient in working on Edge AI, model optimization, and deployment on platforms such as NVIDIA Orin, NXP i.MX8, Qualcomm QCS610, and other embedded systems. They should have a proven track record in building end-to-end AI pipelines utilizing tools like AWS SageMaker, MLFlow, Docker, and ensuring seamless cloud-edge integration. The role also requires a strong background in industrial vision systems, specializing in real-time defect detection, and developing solutions for barcode/inspection using OpenCV & C++. Additionally, experience in developing mobile AI applications using TensorFlow Lite for practical use cases will be beneficial. The candidate will be engaged in working on Proof of Concepts (PoVs) and contributing to Thought Leadership pieces related to industry applications. KPMG in India is an equal opportunity employer, fostering an inclusive work environment where diversity is celebrated and talent is nurtured.,

As an embedded systems trainer, you will be responsible for delivering advanced training sessions covering a wide range of topics. These topics include 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 is a full-time, permanent position suitable for fresher candidates. The work location is in person, allowing for direct interaction with the employer. Additionally, you will be entitled to internet reimbursement as part of the benefits package. If you are passionate about embedded systems and have a deep understanding of the mentioned topics, this role offers a great opportunity to share your knowledge and expertise with others. Get in touch with the employer at +91 9567999282 to learn more about this exciting opportunity.,

You are a Machine Learning & Generative AI Engineer responsible for designing, building, and deploying advanced ML and GenAI solutions. This role presents an exciting opportunity to work on cutting-edge AI systems, such as LLM fine-tuning, Transformer architectures, and RAG pipelines, while also contributing to traditional ML model development for decision-making and automation. With a minimum of 3 years of experience in Machine Learning, Deep Learning, and AI model development, you are expected to demonstrate a strong proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, and MLflow. Your expertise should encompass Transformer architectures (such as BERT, GPT, T5, LLaMA, Falcon) and attention mechanisms. Additionally, experience with Generative AI, including LLM fine-tuning, instruction tuning, and prompt optimization is crucial. You should be familiar with RAG (Retrieval-Augmented Generation) embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows. A solid foundation in statistics, probability, and optimization techniques is essential for this role. You should have experience working with cloud ML platforms like Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, or GCP Vertex AI. Familiarity with Big Data & Data Engineering tools like Spark, Hadoop, Databricks, and SQL/NoSQL databases is required. Proficiency in CI/CD, MLOps, and automation pipelines (such as Airflow, Kubeflow, MLflow) is expected, along with hands-on experience with Docker and Kubernetes for scalable ML/LLM deployment. It would be advantageous if you have experience in NLP & Computer Vision areas, including Transformers, BERT/GPT models, YOLO, and OpenCV. Exposure to vector search & embeddings for enterprise-scale GenAI solutions, multimodal AI, Edge AI / federated learning, RLHF (Reinforcement Learning with Human Feedback) for LLMs, real-time ML applications, and low-latency model serving is considered a plus. Your responsibilities will include designing, building, and deploying end-to-end ML pipelines covering data preprocessing, feature engineering, model training, and deployment. You will develop and optimize LLM-based solutions for enterprise use cases, leveraging Transformer architectures. Implementing RAG pipelines using embeddings and vector databases to integrate domain-specific knowledge into LLMs will also be part of your role. Fine-tuning LLMs on custom datasets for domain-specific tasks and ensuring scalable deployment of ML & LLM models on cloud environments are critical responsibilities. Collaborating with cross-functional teams comprising data scientists, domain experts, and software engineers to deliver AI-driven business impact is expected from you.,

As an AI Model Developer in the manufacturing sector, you will be responsible for developing, architecting, and designing AI models that focus on predictive maintenance, quality control, and process optimization to improve manufacturing efficiency. Your role will involve analyzing manufacturing data to identify patterns, inefficiencies, and areas for process enhancements. You will design and implement machine learning, deep learning, and vision AI models for anomaly detection, forecasting, and optimizing supply chains. Furthermore, you will be required to integrate these AI models into Manufacturing Execution Systems (MES), Internet of Things (IoT) frameworks, and SAP/ERP systems to facilitate real-time operational insights. Collaboration with cross-functional teams to translate manufacturing challenges into data-driven AI solutions will be a key aspect of your responsibilities. Additionally, you will explore and apply cutting-edge technologies such as Generative AI, Edge Computing, and Digital Twin to drive innovation in the manufacturing domain. To excel in this role, you should possess at least 8 years of experience, with a minimum of 2 years in manufacturing or industrial domains. A Bachelor's degree in Engineering (Mechanical/Electrical/Computer) and a Master's degree in business, Computer Science, Data Science, or Artificial Intelligence are essential qualifications. Proficiency in Python, SQL, and ML frameworks like TensorFlow and PyTorch is required. Knowledge of manufacturing systems such as MES, SCADA, or ERP, along with experience in cloud platforms like Azure, AWS, or GCP, will be advantageous. Familiarity with emerging AI trends like Explainable AI, Federated Learning, and Edge AI is desirable. Strong communication and interpersonal skills, effective time management, and the ability to meet project deadlines are essential for success in this role.,

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.

As an AI Research Engineer at Mantra Softech, a technology leader in biometric solutions venturing into AI-powered smart home devices, you will play a crucial role in shaping the future of connected living. Your primary responsibility will be to lead initiatives in LLMs, Edge AI, sensor fusion, ML Models, and natural language interfaces to develop AI-powered experiences across innovative smart home devices. You will be instrumental in designing and developing GenAI-driven AI agents capable of interpreting multimodal inputs and executing context-aware actions. Your role will involve driving initiatives in agentic AI frameworks, architecting LLMOps workflows, and deploying real-time AI applications across cloud and edge environments with a focus on performance and reliability. To excel in this role, you must have a proven track record of designing, deploying, and delivering AI/ML systems into production, with expertise in LLMs, GenAI pipelines, prompt engineering, and agentic AI. Proficiency in Python (and/or C/C++), PyTorch/TensorFlow, and AI/ML frameworks is essential, along with experience in LLMOps, time-series analysis, model optimization, and SQL. Preferred skills for this role include familiarity with LangChain, LlamaIndex, digital twins, telemetry, AI safety, cloud deployment, and microservices. A master's degree in AI/ML, Computer Science, or a related field from a reputed institute, coupled with 4-6 years of industry experience in GenAI and production deployments, is required. If you are passionate about GenAI applications, AI agents, and transforming natural language prompts into actionable insights, this role offers you the opportunity to work on cutting-edge AI projects that will drive the future of connected living. Join us at Mantra Softech and be part of a world-class AI team that is revolutionizing the way we interact with smart home devices.,

The job involves delivering advanced training sessions in embedded systems, covering a wide range of topics such as 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. As a trainer, you will be responsible for tailoring training programs to meet the specific needs of technical professionals and individuals transitioning into careers in embedded systems. You will guide participants through hands-on projects to enhance their learning and practical application of embedded systems techniques. Additionally, you will assist students in conceptualizing, planning, and executing academic projects that showcase their proficiency in embedded systems. This is a full-time position that requires work to be conducted in person.,

About ZZAZZ.ai: At ZZAZZ.ai, we are redefining the future of AI by creating powerful, ethical, and impactful products that solve real-world challenges. Our fast-paced and collaborative environment fosters innovation across large language models (LLMs), machine learning (ML), and applied AI systems. As a Patent Engineer at ZZAZZ.ai, you will play a critical role in protecting our innovations and ensuring that we stay ahead in the IP landscape. Role Summary: As a Patent Engineer, you will bridge the gap between our AI R&D teams and our IP legal counsel. Your primary responsibility will be to analyze inventions, draft high-quality patent applications, and assist in building a robust intellectual property portfolio that supports our business and technology strategy. Key Responsibilities: - Collaborate with engineering and research teams to identify patentable innovations. - Perform prior art searches and patent landscape analysis to assess novelty and patentability. - Draft patent applications with technical accuracy and clarity. - Liaise with external patent attorneys and IP counsel to prosecute patent applications globally. - Track and manage patent filings and deadlines. - Analyze competitor patents and provide strategic input on IP positioning. - Support freedom-to-operate and infringement analyses. Qualifications: - Bachelors or Masters degree in Engineering, Computer Science, or a related technical field; PhD is a plus. - 2+ years of experience in patent drafting, prosecution, or IP strategy (preferably in AI or software tech). - Solid understanding of AI/ML technologies, data science, and software development. - Experience conducting prior art searches and using patent databases/tools (e.g., Google Patents, PatBase). - Exceptional technical writing and communication skills. - Exposure to LLMs, NLP, computer vision, or edge AI is highly preferred. Bonus Skills: - Registered Patent Agent (India/US/EP) or working toward it. - Experience with open-source licensing and software IP issues. - Familiarity with global patent systems (USPTO, EPO, Indian IPO, etc.).,

As an AI Engineer with over 8 years of experience, your role will involve leading initiatives in various AI technologies such as AI Chatbots, RPA, AI Recommendation Engines, and Business Process Automation in Bengaluru on a full-time basis. Your responsibilities will include building and deploying AI chatbots using platforms like Dialogflow, Rasa, RAG, etc., automating processes with RPA tools such as UiPath, AA, Blue Prism, designing recommendation engines using ML/DL, creating autonomous AI agents and business automation workflows, deploying models via AWS, Azure, or GCP, ensuring AI solutions adhere to compliance and ethical standards, as well as collaborating with product and tech teams to deliver scalable AI solutions. Additionally, you should have experience working with RESTful APIs, microservices, and AI frameworks. To excel in this role, you are required to have a minimum of 8 years of experience in AI/ML, NLP, and automation, proficiency in Python (preferred), Java, or C++, hands-on experience with TensorFlow, PyTorch, Scikit-learn, cloud expertise in AWS, Azure, or GCP, skills in RPA tools, big data, APIs, and system integration, as well as excellent communication and leadership abilities. Preferred qualifications include experience in implementing Generative AI solutions such as GPT, Llama, BERT, knowledge of edge AI and embedded AI solutions.,

About Us slice the way you bank slices purpose is to make the world better at using money and time, with a major focus on building the best consumer experience for your money. Weve all felt how slow, confusing, and complicated banking can be. So, were reimagining it. Were building every product from scratch to be fast, transparent, and feel good, because we believe that the best products transcend demographics, like how great music touches most of us. Our cornerstone products and services: slice savings account, slice UPI credit card, slice UPI, slice UPI ATMs, slice fixed deposits, slice borrow, and UPI-powered bank branch are designed to be simple, rewarding, and completely in your control. At slice, youll get to build things youd use yourself and shape the future of banking in India. We tailor our working experience with the belief that the present moment is the only real thing in life. And we have harmony in the present the most when we feel happy and successful together. Were backed by some of the worlds leading investors, including Tiger Global, Insight Partners, Advent International, Blume Ventures, and Gunosy Capital. About The Team Everything that you see on the internet - developers made it. Even the page that youve opened right now and are reading this very line from - a developer. At slice, were trying to build a world class product and that takes some crazy, world class engineers. A team so supportive - even if you miss a ; in your code, they got your back till the code runs successfully. About The Role As the Engineering Manager - Mobile at slice, you will lead a high-performing team of Mobile engineers to deliver innovative, scalable mobile applications that drive our business forward. This role is pivotal in shaping the mobile engineering roadmap, fostering a culture of technical excellence, and integrating AI-driven capabilities to enhance user experiences. You will collaborate closely with cross-functional teams, including Product, Design, QA, Backend, and Data Science, to ensure seamless delivery of mobile features. What Will You Do Lead, mentor, and grow a team of mobile engineers (iOS and Android) to deliver high-quality, scalable mobile applications. Define and execute the mobile engineering roadmap in alignment with product and business objectives, incorporating AI-driven features and capabilities. Oversee end-to-end mobile development processes, including architecture, coding standards, testing, and release management. Collaborate with cross-functional teams (Product, Design, QA, Backend, Data Science) to ensure seamless integration and delivery of mobile features, including AI-powered functionalities. Drive technical excellence by promoting best practices in mobile development, such as CI/CD, performance optimization, accessibility, and AI model integration. Manage team performance, provide regular feedback, and foster a culture of innovation, accountability, and collaboration. Stay current with mobile industry trends (e.g., SwiftUI, Kotlin, Flutter) and AI technologies (e.g., on-device ML, edge AI, generative AI) to advocate for adopting relevant tools and frameworks. Contribute to hiring, onboarding, and career development of mobile engineers with a focus on building AI-ready technical skills. What Will You Need 8+ years of software engineering experience, with at least 5 years focused on mobile development (iOS, Android, or cross-platform). 3+ years of engineering management experience leading teams of 5+ engineers. Proven track record of delivering complex mobile applications, preferably with AI-driven features or integrations. Deep understanding of mobile architectures (e.g., MVC, MVVM, Clean Architecture). Proficiency in at least one mobile platform (Swift/Objective-C for iOS or Kotlin/Java for Android). Familiarity with cross-platform frameworks (e.g., Flutter, React Native) is a plus. Experience with mobile CI/CD pipelines, automated testing, and app store deployment processes. Strong ability to mentor engineers, resolve conflicts, and build cohesive teams. Excellent communication skills to articulate technical and AI-related concepts to non-technical stakeholders. Strategic thinking to align technical and AI-driven decisions with business goals. Bachelor&aposs or master&aposs degree in computer science, Engineering, or a related field (or equivalent experience). Background in consumer-facing mobile apps with high user engagement and AI-driven features is a plus. Contributions to open-source mobile or AI-related projects or technical blogs is a plus. Life at slice Life So Good, Youd Think Were Kidding Competitive salaries. Period. An extensive medical insurance that looks out for our employees & their dependents. Well love you and take care of you, our promise. Flexible working hours. Just dont call us at 3 AM, we like our sleep schedule. Tailored vacation & leave policies so that you enjoy every important moment in your life. A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here. Learning and upskilling opportunities. Seriously, not kidding. Good food, games, and a cool office to make you feel at home. An environment so good, youll forget the term colleagues cant be your friends. Show more Show less

As a Firmware Engineer specializing in TinyML, you will be responsible for developing intelligent low-power devices that operate efficiently without the need for internet connectivity. Your primary focus will be on bringing machine learning capabilities to the edge by deploying TinyML models on microcontrollers and ultra-efficient hardware. You will have the opportunity to work on cutting-edge products that integrate embedded systems, AI, and sensor fusion to create smart, secure, and responsive edge devices for various industries such as health tech, industrial IoT, and consumer electronics. Your responsibilities will include developing, optimizing, and deploying TinyML models, writing clean and efficient embedded C/C++ firmware for microcontrollers like ARM Cortex-M, integrating real-time sensor data for low-latency inference pipelines, collaborating with data scientists to compress and port models, and ensuring performance, memory, and energy efficiency. Additionally, you will conduct testing and debugging on physical devices to ensure the reliability and functionality of the firmware. To excel in this role, you should have a strong background in embedded systems and C/C++, hands-on experience with TinyML frameworks such as TFLite Micro and Edge Impulse, familiarity with ARM Cortex-M microcontrollers or similar hardware, understanding of ML model optimization techniques like quantization and pruning, proficiency in sensor interfacing, low-level drivers, and debugging tools. Experience with audio or motion recognition and low-power hardware design would be considered a bonus. If you are passionate about pushing the boundaries of intelligent edge devices and have the skills and experience required to thrive in a dynamic and innovative environment, we encourage you to apply for this exciting opportunity as a Firmware Engineer specializing in TinyML systems.,

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.

Job Title: AI Engineer Location: Onsite. Sangamner, Maharashtra About the Role: We are looking for a passionate and experienced AI Engineer to join our growing team. In this role, you will develop and deploy advanced AI and machine learning models that power our next-generation products and services. You'll collaborate with cross-functional teams to solve challenging problems, from data preprocessing and model design to deployment and optimization. Responsibilities: Design, build, and deploy machine learning and deep learning models. Collaborate with data scientists, product managers, and engineers to implement AI solutions into production. Work with large datasets; perform data cleaning, preprocessing, and feature engineering. Evaluate model performance using appropriate metrics and continuously improve model accuracy and efficiency. Stay current with the latest research and advancements in AI/ML technologies and tools. Build scalable and maintainable ML pipelines and APIs. Ensure ethical AI practices and model explainability where necessary. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in AI/ML engineering, data science, or a related role. Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and NLP techniques. Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools is a plus. Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Skills (Nice to Have): Experience with real-time inference systems or edge AI. Knowledge of data labeling tools and techniques. Exposure to reinforcement learning or generative models. Contributions to open-source projects or published papers.

About the Role: We are looking for a highly skilled AI & Deep Learning Engineer to develop intelligent solutions that support and optimize our manual and semi-automated product assembly lines . The role involves defect detection using vision systems, process improvement through AI, and potential robotic integration. The ideal candidate will work closely with our teams in both India and China . Key Responsibilities: Design and implement AI models for product defect detection, assembly verification, and process enhancement. Develop and train computer vision models (e.g., object detection, segmentation, anomaly detection) on real assembly data. Work on model deployment for real-time edge inference using Jetson, Raspberry Pi, or similar. Travel between India and China to collect data, collaborate with factory teams, and test AI models on-site. Integrate AI solutions with production systems, sensors, and possibly PLCs/IoT infrastructure. Optimize model performance for reliability, speed, and low power use in production environments. Required Skills: Strong hands-on experience in ML/DL frameworks like PyTorch, TensorFlow, OpenCV. Experience in vision-based defect detection, segmentation, and object tracking. Familiarity with deployment tools like ONNX, TensorRT, TFLite. Prior experience working in or with manufacturing, QA, or assembly environments. Willingness and ability to travel between India and China. Preferred: Experience with robotic arms or vision-guided systems. Familiarity with manufacturing protocols (Modbus, OPC-UA, MQTT).