361 Onnx Jobs - Page 6

Company Overview We are an innovative company developing license-based AI vision software for industrial automation and robotics, deployed on edge devices like the ARM64 boards. Our solutions leverage state-of-the-art object detection models (e.g., YOLOv8) to deliver cutting-edge vision capabilities for industries such as manufacturing, logistics, and robotics. Job Summary We are seeking a motivated .NET Developer Intern with full-stack development skills and an interest in AI vision software for industrial applications. The intern will contribute to the development, deployment, and licensing of AI vision software running on ARM64 boards, focusing on object detection using models like YOLOv8. The role involves building secure, license-protected applications using C#/.NET, integrating with Python-based AI models, and ensuring compatibility with Linux and ARM64 architectures. Responsibilities Develop full-stack applications using C#/.NET (ASP.NET Core, Blazor, or WPF) for AI vision software, including web-based dashboards and APIs for industrial use cases. Implement and integrate license-based software locking mechanisms (e.g., hardware-tied, time-based, or feature-based licenses) using .NET libraries like Portable.Licensing or similar tools. Collaborate with the AI team to integrate YOLOv8 object detection models (developed in Python) into .NET applications using ONNX Runtime or ML.NET for inference on ARM64. Optimize software for deployment on Linux-based ARM64 platforms, ensuring compatibility with ARM64. Assist in developing user interfaces for industrial vision applications, ensuring seamless interaction with object detection outputs. Write clean, maintainable, and well-documented code following best practices. Participate in testing, debugging, and performance optimization of AI vision software. Stay updated on industry trends in industrial vision and robotics, including advancements from companies like SICK AG, Cognex, and AI vision startups. Required Qualifications Education : Pursuing a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field. Programming Skills : Proficiency in C# and .NET (preferably .NET Core/.NET 5/6/7) for full-stack development. Experience with Python for AI model integration (e.g., PyTorch, YOLOv8). Familiarity with web development technologies (HTML, CSS, JavaScript, Blazor, or ASP.NET Core). AI Vision Knowledge : Basic understanding of computer vision concepts (e.g., object detection, image processing) and familiarity with models like YOLOv8. Licensing Knowledge : Understanding of software licensing mechanisms (e.g., hardware-based, time-based) and experience with cryptographic libraries (e.g., System.Security.Cryptography in .NET or Python’s cryptography). Linux and ARM64 : Basic knowledge of Linux environments and ARM64 architecture, particularly for deploying software on NVIDIA ecosystem. Problem-Solving : Strong analytical and problem-solving skills with a keen attention to detail. Teamwork : Ability to work collaboratively in a fast-paced, cross-functional team environment. Good-to-Have Qualifications Experience with C++ for performance-critical tasks, such as optimizing YOLOv8 inference with NVIDIA TensorRT or OpenCV. Familiarity with NVIDIA’s ecosystem (e.g., JetPack SDK, DeepStream, TensorRT) for AI vision deployment. Knowledge of computer vision libraries like OpenCV or EmguCV. Experience with cloud platforms (e.g., Azure, AWS) for license management or data integration. Understanding of industrial vision and robotics applications. Exposure to software obfuscation tools (e.g., Dotfuscator, Pyarmor) for protecting license-based software. Why Join Us? Gain hands-on experience in developing cutting-edge AI vision software for industrial applications. Work on real-world projects involving YOLOv8, ARM64, and license-based software solutions. Collaborate with a team of experts in AI, computer vision, and industrial automation. Opportunity to learn from industry trends, including those set by leaders like SICK AG, Cognex, and innovative startups. Flexible work environment with opportunities for growth and learning. Job Types: Full-time, Part-time, Permanent, Fresher, Internship, Volunteer Pay: ₹8,393.49 - ₹25,634.39 per month Benefits: Paid sick time Work from home Location Type: In-person Schedule: Day shift Evening shift Monday to Friday Rotational shift Work Location: In person Speak with the employer +91 8448116056

As a Perception Engineer at 10xConstruction.ai, you will help our autonomous drywall-finishing robots "see" the job-site. You'll design and deploy perception pipelines—camera + LiDAR fusion, deep-learning vision models, and point-cloud geometry—to give the robot the awareness it needs. Key Responsibilities Develop and deploy 3D perception components for geometric scene understanding using depth sensors, LiDAR, and RGB cameras. Build ROS 2 nodes that process and interpret spatial data (point clouds, depth maps, image streams) for environment modeling and task planning. Train and integrate deep-learning models for 3D semantic understanding, including surface analysis and object segmentation. Design robust sensor fusion strategies that combine visual, inertial, and spatial data for scene reconstruction and robot localization. Benchmark and optimize perception models for deployment on edge compute platforms (e.g., NVIDIA Jetson) using tools like TensorRT or ONNX. Collect and curate high-quality datasets (real and synthetic); automate training pipelines and experiment tracking. Collaborate across robotics teams (manipulation, navigation, cloud) to deliver production-ready perception stacks for autonomous operation in dynamic construction environments Qualifications & Skills Solid grasp of linear algebra, probability and geometry; coursework or projects in CV or robotics perception Proficient in Python 3.x and C++17/20; comfortable with git and CI workflows Experience with ROS 2 (rclcpp / rclpy) and custom message / launch setups Familiarity with deep-learning vision (PyTorch or TensorFlow)—classification, detection or segmentation Hands-on work with point-cloud processing (PCL, Open3D); know when to apply voxel grids, KD-trees, RANSAC or ICP Bonus: exposure to camera-LiDAR calibration, or real-time optimisation libraries (Ceres, GTSAM) Why Join us? Work side-by-side with founders and senior engineers to redefine robotics in construction Build tech that replaces dangerous, repetitive wall-finishing labor with intelligent autonomous systems Help shape not just a product, but an entire company—and see your code on real robots at active job-sites Requirements Python 3.x C++17/20 ROS 2 PyTorch Open3D RANSAC

Job Description We are looking for a Data Scientist who is passionate about working in the healthcare AI domain. This role will involve collaborating with cross-functional teams, including senior data scientists, application developers, and radiology experts, to develop and refine AI solutions for medical imaging. You will gain hands-on experience working on advanced projects and research opportunities in Computer Vision and Deep Learning. Key Responsibilities Develop and optimize deep learning models for medical image analysis, including segmentation, classification and object detection. Preprocess and clean medical imaging datasets to enhance AI model performance and reliability. Conduct model evaluation, error analysis, and performance benchmarking to improve accuracy and generalization. Collaborate with radiologists and domain experts to refine AI model outputs and ensure clinical relevance. Experience : 1-3 years Data Science/Machine Learning experience Required Skills Strong fundamental knowledge of machine learning, computer vision and image processing Demonstrable experience training convolutional neural networks for segmentation and object detection Strong programming skills in Python and familiarity with data science and image processing libraries (e.g., NumPy, pandas, scikit-learn, opencv, PIL). Hands-on experience with deep learning frameworks like Keras or PyTorch. Experience with model evaluation and error analysis. Desired Skills Familiarity with healthcare or radiology datasets. Familiarity with ONNX format Qualification Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Company Location : Baner, Pune, India (ref:hirist.tech)

An Amazing Career Opportunity for AI/ML Engineer Location: Chennai, India (Hybrid) Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Who are we? HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely. We are a high-tech software company headquartered in Austin, TX, with over 4,000 worldwide employees. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo LinkedIn: www.linkedin.com/company/hidglobal/mycompany/ About HID Global, Chennai HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID technology. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 3,000 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. For more information, visit www.hidglobal.com . HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai) over 200+ Engineering Staff. Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Physical Access Control Solutions (PACS) HID's Physical Access Control Solutions Business Area: HID PAC’s Business Unit focuses on the growth of new clients and existing clients where we leverage the latest card and reader technologies to solve the security challenges of our clients. Other areas of focus will include authentication, card sub systems, card encoding, Biometrics, location services and all other aspects of a physical access control infrastructure. Qualifications:- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers. Why apply? Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply. Innovation: You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers. Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted. This opportunity may be open to flexible working arrangements. HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go – without having to think about it. When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

Job Requirements Key Responsibilities Design and Development: Design and implement AI/ML-based applications tailored for embedded and edge hardware. Develop end-to-end pipelines for model training, conversion, and deployment. Customize neural network architectures for edge-specific applications such as object detection, classification, and segmentation. Model Optimization and Deployment: Port and optimize AI models to meet performance and memory constraints on edge platforms. Apply quantization (e.g., INT8), pruning, and layer fusion techniques to improve model efficiency. Convert models between various formats such as ONNX, TensorRT, TVM, TFLite, and DRP-AI. Performance Tuning and Profiling: Analyze model bottlenecks and tune for latency, throughput, and power efficiency. Run inference performance profiling on hardware targets and iterate for improvements. Testing and Debugging: Validate model accuracy and performance post-optimization. Debug and troubleshoot model behavior discrepancies across frameworks and devices. Documentation and Research: Maintain documentation for all model lifecycle stages and optimization steps. Stay updated with latest AI compiler advancements and deployment trends in edge AI. Work Experience Must Have : Bachelor's/Master’s degree in Computer Science, Electronics, or AI-related field. 6+ years in AI/ML model development with experience in real-world applications. Proficient in Python, C++ and deep learning libraries (TensorFlow, PyTorch, Keras). Solid understanding of CNNs, FCNs, and their applications in computer vision. Practical knowledge of model optimization workflows (quantization, pruning, etc.). Experience with ONNX, TVM, TensorRT, DRP-AI, TFLite, OpenCV, etc. Experience with deployment on edge devices like Jetson, RZ/V2H, or STM32. Strong understanding of constraints (compute, memory, power) in edge environments. Good to Have: Exposure to embedded Linux or RTOS environments. Familiarity with low-level model debugging, calibration tools, and inference engines. Experience with Continuous Integration tools such as Git, Jenkins, or similar. Understanding of hardware accelerators (GPU, NPU, DRP-AI, etc.).

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up? Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions. We in the Insights Team are responsible for SMS Categorization, Fraud detection and other Smart SMS features within the Truecaller app. The OTP & bank notifications, bill & travel reminder alerts are some examples of the Smart SMS features. The team has developed a patented offline text parser that powers all these features and the team is also exploring cutting edge technologies like LLM to enhance the Smart SMS features. The team’s mission is to become the World’s most loved and trusted SMS app which is aligned with Truecaller’s vision to make communication safe and efficient. Smart SMS is used by over 90M users every day. As an ML Engineer , you will be responsible for collecting, organizing, analyzing, and interpreting Truecaller data with a focus on NLP. In this role, you will be working hands-on to optimize the training and deployment of ML models to be quick and cost-efficient. Also, you will be pivotal in advancing our work with large language models and in-device models across diverse regions. Your expertise will enhance our natural language processing, machine learning, and predictive analytics capabilities. What You Bring In 3+ years in machine learning engineering, with hands-on involvement in feature engineering, model development, and deployment. Experience in Natural Language Processing (NLP), with a deep understanding of text processing, model development, and deployment challenges in the domain. Proven ability to develop, deploy, and maintain machine learning models in production environments, ensuring scalability, reliability, and performance. Strong familiarity with ML frameworks like TensorFlow, PyTorch, and ONNX, and experience in tech stack such as Kubernetes, Docker, APIs, Vertex AI, GCP. Experience deploying models across backend and mobile platforms. Fine-tune and optimize LLMs prompts for domain-specific applications Ability to optimize feature engineering, model training, and deployment strategies for performance and efficiency. Strong SQL and statistical skills. Programming knowledge in at least one language, such as Python or R. Preferably python. Knowledge of machine learning algorithms. Excellent teamwork and communication skills, with the ability to work cross-functionally with product, engineering, and data science teams. Good to have the knowledge in retrieval-based pipelines to enhance LLM performance The Impact You Will Create Collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems ensuring they are delivered on time and within scope. Design, develop, and deploy state-of-the-art NLP models, contributing directly to message classification and fraud detection at scale for millions of users. Leverage cutting-edge NLP techniques to enhance message understanding, spam filtering, and fraud detection, ensuring a safer and more efficient messaging experience. Build and optimize ML models that can efficiently handle large-scale data processing while maintaining accuracy and performance. Work closely with data scientists and data engineers to enable rapid experimentation, development, and productionization of models in a cost-effective manner. Streamline the ML lifecycle, from training to deployment, by implementing automated workflows, CI/CD pipelines, and monitoring tools for model health and performance. Stay ahead of advancements in ML and NLP, proactively identifying opportunities to enhance model performance, reduce latency, and improve user experience. Your work will directly impact millions of users, improving message classification, fraud detection, and the overall security of messaging platforms. It Would Be Great If You Also Have Understanding of Conversational AI Deploying NLP models in production Working knowledge of GCP components Cloud-based LLM inference with Ray, Kubernetes, and serverless architectures. Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like your dream job? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore , India. We only accept applications in English. What We Offer A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you. Job info Location Bengaluru, Karnataka, India Category Data Science Team Insights Posted today

Location: Hyderabad Department: Advanced AI Research & Engineering Reports To: Chief Technology Officer / Head of AI Strategy Employment Type: Full-time | Leadership Track Executive Summary: We are looking for a visionary and deeply experienced Artificial Intelligence Specialist to lead the design, architecture, and deployment of next-generation AI systems that will redefine our digital future. This role is reserved for an AI leader with demonstrated expertise in designing scalable, production-grade AI ecosystems; a deep understanding of neural architectures; and a track record of solving real-world complex challenges through intelligent automation, generative models, and predictive intelligence. This is not a conventional role—you will architect the AI backbone of future enterprise intelligence systems. Core Responsibilities: Architect and develop mission-critical AI models across domains: predictive analytics, generative AI, NLP, computer vision, and autonomous decision systems. Lead AI research-to-production workflows—from experimental design, data strategy, and model optimization to real-world deployment at scale. Design and refine advanced neural architectures , including transformers, LLMs, graph neural networks, and reinforcement learning agents. Spearhead multi-modal AI solutions integrating vision, voice, text, and time-series data streams. Collaborate with engineering, product, and C-suite teams to translate strategic business objectives into deployable AI solutions with measurable ROI. Guide data governance, ethical AI practices , explainability, compliance, and AI fairness protocols. Mentor a team of data scientists and machine learning engineers to deliver high-impact, production-ready AI pipelines. Continuously evaluate emerging AI tools, frameworks, and hardware acceleration techniques to maintain technological leadership . Represent the organization at AI conferences, forums, and research partnerships . Required Expertise: 10+ years of deep, hands-on experience in Artificial Intelligence, Machine Learning, and Applied Data Science. Master's or Ph.D. in AI/ML, Computer Science, Mathematics, Physics, or a related field (Ph.D. strongly preferred). Expertise in Python , along with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, ONNX, Scikit-learn . Demonstrated experience building and deploying LLMs, GANs, CNNs, RNNs, RL agents , and large-scale vector search systems. Deep knowledge of data engineering pipelines, model lifecycle management, and distributed computing . Advanced proficiency with MLOps, CI/CD for ML , containerization (Docker, Kubernetes), and versioned model deployment tools (MLflow, Kubeflow). Solid grounding in probability, statistics, optimization , and algorithmic design. Experience deploying AI on cloud infrastructure (AWS, GCP, Azure) and leveraging GPU/TPU environments. Preferred Edge (Not Mandatory but Advantageous): Experience working with Autonomous Systems, AI OS, Digital Twins , or AI-powered Operating Systems . Prior contributions to open-source AI libraries , patents, or published research in Tier-1 conferences (NeurIPS, ICML, CVPR, ACL). Domain specialization in healthcare AI, fintech AI, smart cities, or autonomous governance platforms . Hands-on experience with AI compliance frameworks (GDPR, HIPAA, model interpretability, and ethical AI) . What You’ll Get: Leadership opportunity in building core AI infrastructure for enterprise-scale and city-scale platforms. Access to state-of-the-art infrastructure , including AI supercomputing environments and high-volume data systems. Competitive salary package with equity options , bonuses, and leadership growth. Opportunity to shape the AI strategy of high-impact products reaching millions globally. Work culture that fosters innovation, autonomy, and research-driven engineering . Application & Interview Process: Please submit: Updated CV with detailed project accomplishments GitHub / Research portfolio Shortlisted candidates will be invited for: A technical deep-dive session Strategic AI system design challenge Panel interview with leadership and R&D teams This Role is Built For: AI pioneers who don’t just build models — they architect future intelligence ecosystems . If you live at the intersection of mathematics, machine learning, systems design, and innovation, we invite you to define the next generation of AI with us.

Technical skills and competencies Must have Technical skills Requirements • Overall 8+ years of experience, out of which in 4+ in AI, ML and Gen AI and related technologies • Proven track record of leading and scaling AI/ML teams and initiatives. • Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications. • Expertise in ML frameworks such as PyTorch and/or TensorFlow • Experience with ONNX runtime, model optimization and hyperparameter tuning. • Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack • Experience in production-level deployment of AI models at enterprise scale. • Proficiency in data preprocessing, feature engineering, and large-scale data handling. • Expertise in image and video processing, object detection, image segmentation, and related CV tasks. • Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications. • Experience with speech recognition, audio classification, and general signal processing techniques. • Experience with RAG, VectorDB, GraphDB and Knowledge Graphs • Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI). Soft Skills • Strong leadership and team management skills. • Excellent verbal and written communication skills. • Strategic thinking and problem-solving abilities. • Adaptability and adapting to the rapidly evolving AI/ML landscape. • Strong collaboration and interpersonal skills. • Ability to translate market needs into technological solutions. • Strong understanding of industry dynamics and ability to translate market needs into technological solutions. • Demonstrated ability to foster a culture of innovation and creative problem-solving. Candidate Profile and Competencies Lead and manage the AI/ML Center of Excellence (CoE), setting strategic direction and goals. • !00% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. (Build Vs Buy Decision Maker) • Drive innovation in AI/ML applications across various business domains and modalities (vision, language, audio). • Hire, train, and manage a team of AI experts to run the CoE effectively. • Collaborate with sales teams to identify opportunities and drive revenue growth through AI/ML solutions. • Develop and deliver training programs to upskill teams across the organization in AI/ML technologies. • Oversee the Implement and maintain best practices in MLOps, DevOps, and CI/CD for AI/ML projects. • Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. • Provide thought leadership through whitepapers, conference presentations, and industry engagements to position the organization as an AI/ML leader Experience 8+ yrs

Why join Stryker? Looking for a place that values your unique talents? Discover Stryker's award-winning culture. We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific. Job description We are excited to be named one of the World’s Best Workplaces by Fortune Magazine! We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific. Who we want: Experienced and motivated professional who is talented to lead on the technical front, take challenges and work with globally distributed teams to develop state of the art computer vision solutions for medical products. What you will do: Requirement gathering, Designing, Implementation and Documentation Leverage new technologies to excel product offering and performance Work with all the stakeholders to ensure timely deliveries of the tasks Compliance to Quality Management System and Design Controls Preferred Qualifications (Strongly desired): Essential 6 to 8 years of research experience in developing best in class computer vision and/or video analytics solutions Broad understanding of state-of-art deep learning architectures for computer vision tasks (segmentation/object detection/tracking/3D Vision/VSLAM) Proficiency in Python programming. Strong expertise in PyTorch – Core/Tools Experience with model optimization (quantization/distillation/pruning) Experience in debugging Numpy+PyTorch model export to ONNX/TRT format Excellent written and oral English communication skills Experience in working with distributed teams across geographies in agile setup Self-learner and the ability to work hands-on with minimal supervision or assistance Good to Have Track record of innovation in deep-learning (open-source projects and/or publications) Experience in C++ development, Visual Studio and Linux/Windows build systems Experience working in healthcare industry on Medical Imaging Education: Bachelors or Master degree in computer science, computer engineering or a related science or engineering discipline is required. A relevant PhD or equivalent experience would be favored. Experience: 4 -8 years Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

🏢 Company Description Live Eye Surveillance is a U.S.-focused AI surveillance and remote monitoring company, headquartered in Seattle with technology operations in India. We specialize in real-time, proactive security solutions for retail, QSRs, warehouses, and commercial spaces. Our in-house AI-powered Video Management Software (VMS) integrates advanced IP camera systems, intelligent video analytics, live audio deterrence, and 24/7 human monitoring to deter crime before it happens. With enterprise-grade infrastructure and a commitment to reducing shrinkage, liability, and manpower costs, Live Eye is redefining modern surveillance for multi-location businesses. ⸻ 💼 Role: AI/ML Lead – Facial Recognition & Video Intelligence Location: Karnal, Haryana Employment Type: Full-Time Experience: 3+ Years in AI/ML, Computer Vision, and Team Leadership ⸻ 🧠 Role Description We are looking for an AI/ML Lead to spearhead the development of cutting-edge Facial Recognition, Object Detection, and Video Intelligence features for our proprietary VMS platform. You will lead the research, development, and optimization of AI models deployed across real-time IP camera feeds. You’ll also manage a small team of AI/ML engineers and work closely with our backend, frontend, and mobile teams to build scalable, production-ready AI modules that directly impact global security operations. ⸻ 🧪 Responsibilities • Build and deploy production-grade models for facial recognition, object/person detection, and activity recognition • Optimize AI pipelines for real-time performance and edge device compatibility • Lead, mentor, and manage a small AI/ML engineering team • Collaborate with product managers, software engineers, and cloud architects to integrate AI modules into the VMS platform • Stay on top of the latest developments in deep learning and computer vision research • Ensure model accuracy, efficiency, and scalability across diverse real-world environments ⸻ 🔧 Required Qualifications • 3+ years of hands-on experience in Machine Learning and Deep Learning (preferably in Computer Vision) • Proficiency in Python, TensorFlow/PyTorch, OpenCV, and relevant DL libraries • Strong background in building models for facial recognition (FaceNet, ArcFace, etc.) and object detection (YOLO, SSD, Faster R-CNN) • Experience with ONNX, TensorRT, or other optimization tools for edge inference • Experience integrating AI models with IP camera feeds (RTSP/ONVIF protocols preferred) • Solid understanding of data preprocessing, model evaluation, and tuning • Strong communication, problem-solving, and team leadership skills • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field ⸻ 🌐 Nice to Have • Experience with Jetson Nano/Xavier, Edge TPUs, or other AI hardware • Background in surveillance systems, security platforms, or VMS architecture • Familiarity with cloud platforms like AWS, Azure, or GCP • Experience with Docker, Git, and CI/CD for deploying ML models ⸻ 🌟 What We Offer • Leadership opportunity in a rapidly growing AI security tech company • Hands-on role in building core IP for our next-gen surveillance platform • Flexible hybrid work setup with direct impact on global deployments • Competitive compensation and opportunity for fast growth ⸻ 📩 To apply: Send your resume to careers@myliveeye.com 🌐 Visit: www.myliveeye.com

Lead Embedded Linux & OS Engineer (Next-Gen AI Hardware) We are building a new category of intelligent hardware from first principles. This requires an operating system that is fast, efficient, and built for purpose- not a generic, bloated derivative. This is not a standard embedded role. We're looking for a hardcore engineer to build and own the core OS from bare metal up. You will be responsible for the foundation of everything we build, at the intersection of custom silicon, AI, and the user experience. If you are disgusted by inefficiency and want to build something that actually works, this is for you. 📍 Location: Mohali, Punjab (In-Office). We are building a world-class engineering hub in Mohali and are looking for foundational team members to join us on-site. What You'll Own: You will have end-to-end ownership of the operating system. Your responsibilities are not just to execute tasks, but to deliver outcomes. Architect & Ship a Custom OS: Design, build, and maintain a lightweight, high-performance Linux-based OS for our ARM-based hardware (NVIDIA Jetson, etc.). Own the Full Stack: You are responsible for the bootloader (U-Boot), kernel, device trees, driver integration, and the entire board bring-up process. Build a Bulletproof OTA System: Design and implement a secure, reliable, and scalable Over-the-Air update infrastructure with A/B partitioning and seamless rollbacks. This must not fail. Optimize for Performance: Eliminate system bloat and optimize the entire stack for low-latency hardware I/O (display, audio, mics) and on-device AI inference. Develop Core Tooling: Build the build systems (Yocto/Debian), flashing tools, and diagnostic frameworks that the entire engineering team will depend on to move fast. Who You Are: We care more about your ability to deliver results than your credentials. We are looking for evidence of exceptional talent. Minimum Qualifications: A demonstrated history of shipping commercial products running on a custom embedded Linux OS. Expertise in Linux internals, U-Boot, writing device trees from datasheets, and low-level board bring-up. Experience building and managing OTA update systems (Mender, RAUC, SWUpdate, etc.) in a production environment. Strong proficiency in C, C++, and Shell scripting for system-level development and automation. Preferred Qualifications (Bonus Points): Experience building systems from the ground up at a startup or in a "zero-to-one" product team. Familiarity with the Android Open Source Project (AOSP), NVIDIA's JetPack SDK, or other complex embedded platforms. A history of optimizing systems for on-device AI runtimes (TensorFlow Lite, ONNX, etc.). You've built your own tools, automated complex workflows, or have a GitHub profile that showcases your ability to solve hard problems. The Opportunity: Extreme Ownership: This is not a cog-in-a-machine role. You will have a high degree of autonomy and responsibility. Build from Day 1: Architect a foundational product that will be deployed at a massive scale. Work with an Elite Team: We are hiring only A-players who are obsessed with building great things. Meaningful Stake: Compensation is fully negotiable and includes access to a significant ESOP pool. We want you to own a piece of what you build. To Apply: Email careers@vusictechnologies.com with the following: Tell us a bit about you, but skip the fluff: Show us what you’ve built. Share your GitHub, portfolio, or anything that reflects real work. We care more about what you’ve done than what you’ve said . What’s the hardest technical problem you’ve ever solved? Don’t tell us what your team did tell us what you did. What made it hard? What did you learn? Have you ever fixed or built something no one asked you to but it made a big difference? What was broken or missing? Why did you decide to do something about it? Tell us about a time you shipped something that was considered “done,” but you weren’t happy with it. Why weren’t you satisfied? What would you do differently today? When have you broken a “best practice” because it was wrong for the situation? What was the dogma? How did you think through it? What happened? Attach your resume. We’ll read it but your answers above matter more. NOTE: Vusic is an equal opportunity employer committed to building a diverse and inclusive workforce. We welcome applicants from all backgrounds. However, please note that we maintain a strict no-smoking policy.

We are looking for a versatile Software Engineer with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Computer Vision. This role also requires experience with video data integration and the ability to combine multiple tools and technologies into a cohesive desktop software application. You will work on performance-critical software solutions that blend real-time vision and AI/ML capabilities with modern UI/UX experiences. The ideal candidate is comfortable working with a variety of programming languages, frameworks, and platforms—whether Python-based or compiled languages like C++ or C#. - Design, develop, and maintain robust PC applications that integrate machine learning and computer vision capabilities. - Build real-time video data pipelines for processing, analysis, and visualization across diverse applications. - Develop, train, and deploy AI/ML models and integrate them into production-grade desktop software. - Combine multiple components—including SDKs, APIs, and standalone tools—into a single, well-structured desktop application. - Work with UX/UI designers, product teams, and system engineers to deliver intuitive and high-performance software. - Ensure code quality, modularity, and performance optimization in complex, data-intensive applications. - Stay up to date with developments in ML, CV, and video technologies and assess their relevance to the product roadmap. ► Mandatory Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 4+ years of professional software development experience. - Strong programming skills in one or more general-purpose languages such as Python. - Solid understanding of machine learning and computer vision, including hands-on experience with tools like TensorFlow, PyTorch, OpenCV, ONNX, etc. - Experience working with video data streams, including decoding, processing, and integrating into applications (e.g., using FFmpeg, GStreamer, Media Foundation, etc.). - Experience integrating third-party tools, SDKs, or APIs into cohesive desktop solutions. - Familiarity with multithreading, performance optimization, and real-time system constraints. ► Preferred Qualifications - Experience with GPU programming (CUDA, DirectML, Vulkan) and hardware acceleration. - Familiarity with C++, C#. - Knowledge of application architecture patterns and modular software design. - Prior experience in domains such as surveillance, healthcare, industrial automation, automotive, or video analytics. - Familiarity with building desktop applications using frameworks like Qt, WPF, .NET, Electron, or cross-platform toolkits.

Location: Bangalore, India Date Posted: Jul 3, 2025 Description Millions of people experience Synaptics every day. Our technology impacts how people see, hear, touch, and engage with a wide range of IoT applications – at home, at work, in the car or on the go. We solve complex challenges alongside the most influential companies in the industry, using the most advanced algorithms in areas such as machine learning, biometrics and video processing, combined with world class software and silicon development. Overview Synaptics is looking for a talented Sr. Software Engineer to join our dynamic and growing organization. You will be responsible for the customer design-in activities from the design review phase through to mass production, for Synaptics Astra® SL Series of Embedded processors. The Astra® SL Series is a family of highly integrated AI-native Linux SoCs optimized for multi-modal Consumer and Industrial IoT workloads with high-performance hardware accelerators for edge-based inferencing, security, graphics, vision and audio. These processors incorporate multiple high-performance compute engines including a quad-core Arm64 CPU subsystem, multi-TOPS NPU, GPU for AI-acceleration and 3D Graphics, along with multimedia accelerators for Image Signal Processing, 4K video encode and decode, backed by industry-grade security certifications. This position reports to the Sr. Manager, Software Engineering. Responsibilities & Competencies Job Duties Design and develop NPU compilers optimized for machine learning applications Develop optimized computation kernels of Deep Learning Operators Create and implement algorithms and data structures to enhance NPU compiler performance Build software tools for visualization, analysis, debugging, and testing of compiler development Work with open-source compiler frameworks like MLIR to improve compiler functionality Contribute to the deep learning network front-end of the compiler Participate in all stages of the software development lifecycle, including requirements analysis, design, implementation, qualification, and production release Actively collaborate with a global team working on cutting-edge technology to create revolutionary products Competencies Strong understanding of system software and SoC architecture. Proficiency in C/C++ and Python with excellent coding skills. Proactive, self-starter, able to work independently in a fast-paced environment Well organized with strong attention to detail; proactively ensures work is accurate Positive attitude and work ethic; unafraid to ask questions and explore new ideas Good design, programming, and problem-solving skills and able to solve problems through practical use of technology and a solid understanding of product architecture Good verbal and written communication skills, in English Strong team player with the ability to work collaboratively within a diverse cross-functional team Qualifications (Requirements) Bachelor’s (or Master’s) degree in Electrical Engineering, Software Engineering, Computer Science or related field or equivalent 5+ years’ experience in embedded software development Expertise in analyzing, profiling, and debugging C/C++ and Python code. Familiarity with compiler frameworks like LLVM, MLIR, or similar is a strong plus. Hands-on experience in one or more of the following areas: deep learning frameworks such as PyTorch, ONNX, or TensorFlow, Python modules including NumPy and Pandas, Transformer-based architecture No travel required Belief in Diversity Synaptics is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.

At Electronix.AI, we’re building tools for the engineers of tomorrow, tools that understand, automate, and accelerate the hardware development cycle. Website : Electronix AI | Accelerate Hardware Design Decisions We are now looking for an AI Full-stack Engineering Intern to join our team! This is your opportunity to be part of a fast-paced startup building AI-powered tools for the hardware world. You'll work with people who value autonomy, rapid prototyping, and deep problem-solving, and you'll help shape systems used in the field, not just in the cloud. ⚡What You’ll Be Doing (Responsibilities): Develop and optimize backend services using Python (FastAPI, HuggingFace Transformers, OpenCV). Design and deploy APIs for AI-powered automation, video analytics, and search applications. Develop and deploy robust on-premises solutions that integrate seamlessly with existing infrastructure. Implement and manage DevOps pipelines, ensuring continuous integration and deployment workflows across cloud and on-prem environments. Ensure scalability, security, and reliability across infrastructure and applications. Work with databases and caching layers like MySQL, Elasticsearch, Redis, and Vector DBs (Qdrant, ChromaDB, etc.). Develop frontend components using TypeScript, React, and GraphQL to create intuitive user experiences. Troubleshoot and resolve complex system performance issues, particularly for on-prem deployments and high-performance computing environments. (Nice to Have) Experience with Kubernetes for container orchestration ⚡ What we need to see: Backend : Python (FastAPI, HuggingFace Transformers, OpenCV), MySQL, RabbitMQ, GraphQL Front-End: React, TypeScript AI & Search: Elasticsearch, Redis, Vector DBs (Qdrant, ChromaDB) Cloud & DevOps: Docker, AWS, Azure, CI/CD, On-Prem Deployments Bonus : Kubernetes, GPU-based workloads (NVIDIA GPUs preferred) ⚡ Internship Details: Duration : 4-6 months Location : Onsite/Hybrid (min 3x a week) - Bengaluru (Jayanagar/Richmond Town) Stipend : Monetary compensation included. Additional Perks : Early access to product decisions, real-world deployment experience, high ownership. ⚡ Good to Have: These are extras that help us spot naturally curious, hands-on builders. None are hard requirements especially the hardware items, which are purely optional bonuses. Hands-On AI Exploration: Personal / academic projects showing end-to-end use of modern AI stacks—e.g., fine-tuning or serving models with Hugging Face Transformers, building RAG pipelines, or experimenting with OpenAI, Gemini, or Ollama APIs. Evidence you can move beyond tutorials: custom data pipelines, evaluation scripts, or deployment artefacts that solve real problems. Tooling & Framework Depth Comfort with open-source LLM toolchains such as LangChain, LlamaIndex, FastEmbed, or Haystack. Experience running or optimising models on GPU/CPU edge devices; bonus points for on-device inference tricks (quantisation, pruning, TensorRT, ONNX, GGUF). Familiarity with vector databases (Qdrant, Chroma, Weaviate) and search frameworks (Elastic, OpenSearch). (Optional Bonus) Hardware-Aware Mindset : Purely a plus, great if you have it, absolutely fine if you don’t. Basic exposure to the semiconductor / EDA landscape, PCB design, or HDLs (Verilog/VHDL). Past tinkering that bridges software with sensors, FPGAs, Raspberry Pi, Jetson, or lab equipment. Appreciation of constraints unique to on-prem or embedded deployments: latency, memory, thermals and how they influence architecture. MLOps & Dev-Infra Curiosity Initial exposure to MLOps concepts: experiment tracking (Weights & Biases, MLflow), model registry, automated evaluation. Comfort scripting IaC with Terraform/Ansible or writing GitHub Actions to ship prototypes rapidly. Show-Don’t-Tell Proof An active GitHub with readable READMEs, issues, and commit history reflecting iterative learning. Blog posts, lightning talks, or demo videos explaining challenges, trade-offs, and learnings. Clear communication counts. Contributions : big or small, to open-source projects in AI, DevOps, or hardware realms. ⚡ Personal Traits We Value: Relentless curiosity: you ask why and keep digging. Bias for rapid prototyping: build, test, iterate. System thinking: see the whole stack and optimize the right layer. Collaborative clarity: explain complex ideas simply and receive feedback constructively. Bring tangible evidence: code, designs, write-ups, documentation - showcasing how you learn and build. We’re excited to see what you’ve been tinkering with! ⚡ Hiring Process: GitHub Review Profile Shortlisting Technical Task/Assignment Deep Dive Interview Join the Team!

As a Perception Engineering Intern / Apprentice at 10xConstruction, you will help our autonomous drywall-finishing robots "see" the job-site. You'll design and deploy perception pipelines—camera + LiDAR fusion, deep-learning vision models, and point-cloud geometry—to give the robot the awareness it needs. Key Responsibilities Build ROS 2 nodes for 3-D point-cloud ingestion, filtering, voxelisation and wall-plane extraction (PCL / Open3D) Train and integrate CNN / Transformer models for surface-defect detection and semantic segmentation Implement RANSAC-based pose, plane and key-point estimation; refine with ICP or Kalman/EKF loops Fuse LiDAR, depth camera, IMU and wheel odometry data for robust SLAM and obstacle avoidance Optimise and benchmark models on Jetson-class edge devices with TensorRT / ONNX Runtime Collect, label and augment real & synthetic datasets; automate experiment tracking (Weights & Biases, MLflow) Collaborate with manipulation, navigation and cloud teams to ship end-to-end, production-ready perception stacks Qualifications & Skills Solid grasp of linear algebra, probability and geometry; coursework or projects in CV or robotics perception Proficient in **Python 3.x and C++17/20**; comfortable with git and CI workflows Experience with **ROS 2 (rclcpp / rclpy)** and custom message / launch setups Familiarity with **deep-learning vision** (PyTorch or TensorFlow)—classification, detection or segmentation Hands-on work with **point-cloud processing** (PCL, Open3D); know when to apply voxel grids, KD-trees, RANSAC or ICP Bonus: exposure to camera-LiDAR calibration, or real-time optimisation libraries (Ceres, GTSAM) Why Join Us Work side-by-side with founders and senior engineers to redefine robotics in construction Build tech that replaces dangerous, repetitive wall-finishing labor with intelligent autonomous systems Help shape not just a product, but an entire company—and see your code on real robots at active job-sites Requirements Python 3.x C++17/20 ROS 2 PyTorch Open3D RANSAC

As an AI Research Apprentice you'll push the frontiers of generative and multimodal learning that power our autonomous robots. You will prototype diffusion-based vision models, vision-language architectures (VLAs/VLMs) and automated data-annotation pipelines that turn raw site footage into training gold. Key Responsibilities Design and train diffusion-based generative models for realistic, high-resolution synthetic data Build compact Vision-Language Models (VLMs) to caption, query and retrieve job-site scenes for downstream perception tasks Develop Vision-Language Alignment (VLA) objectives that link textual work-orders with pixel-level segmentation masks Architect large-scale auto-annotation pipelines that transform unlabeled images / point-clouds into high-quality labels with minimal human input Benchmark model performance on accuracy, latency and memory for deployment on Jetson-class hardware; compress with distillation or LoRA Collaborate with perception and robotics teams to integrate research prototypes into live ROS 2 stacks Qualifications & Skills Strong foundation in deep learning, probabilistic modeling and computer vision (coursework or research projects) Hands-on experience with diffusion models (e.g., DDPM, Latent Diffusion) in PyTorch or JAX Familiarity with multimodal transformers / VLMs (CLIP, BLIP, Flamingo, LLaVA, etc.) and contrastive pre-training objectives Working knowledge of data-centric AI: active learning, self-training, pseudo-labeling and large-scale annotation pipelines Solid coding skills in Python, PyTorch / Lightning, plus git-driven workflows; bonus for C++ and CUDA kernels Bonus: experience with on-device inference (TensorRT, ONNX Runtime) & synthetic data tools (Isaac Sim) Why Join Us Research bleeding-edge generative & multimodal tech and watch it land on real construction robots Publish, patent and open-source: we encourage conference submissions and community engagement Help build a company from the ground up—your experiments can become flagship product features Requirements PyTorch or JAX C++ CUDA kernels ONNX Runtime TensorRT Isaac Sim Latent Diffusion

Drive the next wave of generative and multimodal intelligence that powers our autonomous drywall-finishing robots. As a core member of the AI Research team, you'll turn cutting-edge vision-language and diffusion advances into robust, real-time systems that see, reason, and act on dynamic construction sites. Key Responsibilities Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis, and domain adaptation Architect and train Vision-Language Models (VLMs) and Vision-Language Alignment (VLA) objectives that connect textual work orders, CAD plans, and sensor data to pixel-level understanding Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2 Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation, and production hand-off to perception & controls teams Publish internal tech reports and external conference papers; mentor interns and junior engineers Qualifications & Skills 3+ years in deep-learning R\&D or Ph.D./M.S. in CS, EE, Robotics or related field with strong publication record Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet) and multimodal transformers / VLMs (CLIP, BLIP-2, LLaVA, Flamingo) Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision Advanced proficiency in Python, PyTorch (or JAX), experiment tracking, and scalable training (PyTorch Lightning, DeepSpeed, Ray) Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning Strong mathematical foundation (probability, information theory, optimization) and ability to translate theory into production code Bonus: experience with synthetic data generation in Isaac Sim, or robotics perception stacks (ROS2, Nav2, MoveIt 2, Open3D) Why join us? Own breakthrough tech from idea to autonomous robot on active job-sites—your work leaves the lab fast Collaborate cross-functionally with perception, controls, and product teams & publish at top venues with company support Shape an industry by replacing dangerous, repetitive construction labor with intelligent robots Competitive salary + equity, hardware budget, flexible hybrid work, and a culture that prizes deep work and rapid iteration Requirements Vision-Language Models Vision-Language Alignment R\&D Ph.D./M.S. in CS, EE, Robotics TensorRT, ONNX Runtime CUDA / C++

A hands-on engineering position responsible for designing, automating, and maintaining robust build systems and deployment pipelines for AI/ML components, with direct development responsibilities in C++ and Python. The role supports both model training infrastructure and high-performance inference systems. Design and implement robustbuild automation systemsthat support large, distributed AI/C++/Python codebases. Develop tools and scripts that enable developers and researchers to rapidly iterate, test, and deploy across diverse environments. Integrate C++ components with Python-based AI workflows, ensuring compatibility, performance, and maintainability. Lead the creation ofportable, reproducible development environments, ensuring parity between development and production. Maintain and extend CI/CD pipelines for Linux and z/OS, implementing best practices in automated testing, artifact management, and release validation. Collaborate with cross-functional teams — including AI researchers, system architects, and mainframe engineers — to align infrastructure with strategic goals. Proactively monitor and improve build performance, automation coverage, and system reliability. Contribute to internal documentation, process improvements, and knowledge sharing to scale your impact across teams Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise With 5+ years of strong programming skills in C++ and Python, with a deep understanding of both compiled and interpreted language paradigms. Hands-on experience building and maintainingcomplex automation pipelines(CI/CD) using tools likeJenkins, or GitLab CI. In-depth experience withbuild tools and systemssuch asCMake, Make, Meson, or Ninja, including custom script development and cross-compilation. Experience working onmulti-platform development, specifically onLinux and IBM z/OSenvironments, including understanding of their respective toolchains and constraints. Experience integratingnative C++ code with Python, leveragingpybind11,Cython, or similar tools for high-performance interoperability. Proven ability to troubleshoot and resolvebuild-time, runtime, and integration issuesin large-scale, multi-component systems. Comfortable withshell scripting(Bash, Zsh, etc.) and system-level operations. Familiarity withcontainerization technologieslike Docker for development and deployment environments. Preferred technical and professional experience Working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, or ONNX, including understanding of how they integrate into production environments. Experience developing or maintaining software on IBM z/OS mainframe systems. Familiarity with z/OS build and packaging workflows, Understanding of system performance tuning, especially in high-throughput compute or I/O environments (e.g., large model training or inference). Knowledge of GPU computing and low-level profiling/debugging tools. Experience managing long-lifecycle enterprise systems and ensuring compatibility across releases and deployments. Background contributing to or maintaining open-source projects in the infrastructure, DevOps, or AI tooling space Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders. Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams. Proven track record of ensuring compliance with industry best practices and standards in AI engineering. Maintained high standards of code quality, performance, and security in AI projects

2+ years of ML + NLP experience. Programming in Python. Knowledge of SQL and NoSQL databases. Expert ability to write robust code in Python. Experience working with structured and unstructured data including data extraction, integration, and normalization. Very fluent in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, Spacy. Expert skill at manipulating data frames using Pandas and arrays using NumPy. Good To Have Experience with big data frameworks such as Spark and Hadoop. Experience with containerizing applications using docker.

2+ years of ML + NLP experience. Programming in Python. Knowledge of SQL and NoSQL databases. Expert ability to write robust code in Python. Experience working with structured and unstructured data including data extraction, integration, and normalization. Very fluent in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, Spacy. Expert skill at manipulating data frames using Pandas and arrays using NumPy. Good To Have: Experience with big data frameworks such as Spark and Hadoop. Experience with containerizing applications using docker. Roles and Responsibilities Understanding business objectives and formulating the problem as a Machine Learning problem. In-depth knowledge of various NLP domains such as entity extraction, topic modeling, knowledge graphs, parsing, question answering, etc and linking with domain specific dictionaries. Expertise in a variety of Deep Learning architectures including RNN, CNN, LSTMs, Transformer, and Transfer Learning. Excellent background in Machine Learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.) and conversational AI (chatbots). Implement cutting edge CV techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV. Hands-on experience in any public cloud environment (AWS, GCP or Azure). Ability to build robust data processing and analytics pipelines. Operationalize ML models into production environment(s). Strong knowledge of software fundamentals, data structures and algorithms. Strong analytical and problem-solving skills. Quick learner passionate about Machine Learning and Data Science.

Talent Scout Management Solutions/PIVOTAL is a professional services recruitment firm dedicated to helping clients recruit world-class leadership talent. We are currently recruiting " Computer Vision Research Engineer " for our client, Videonetics Technology. Location: Kolkata (New Town) Mode of Employment: Full-time About Videonetics: Videonetics is a leading innovator in AI-powered video computing solutions, offering intelligent video management, analytics and security solutions across industries. Our mission is to make the world smarter and safer through cutting-edge technology. To know more about us – https://www.videonetics.com, https://www.linkedin.com/company/videonetics/ Who You'll Work With: As an AI Researcher focused on Computer Vision and Image Processing, you will collaborate with a multidisciplinary team of machine learning engineers, video systems experts, software developers and data engineers. You’ll work closely with domain experts to translate real-world visual problems into scalable AI models, contributing to both applied research and production-grade deployment. Your work will also intersect with platform teams to optimize models for inference on edge devices and video pipelines. What you’ll do: Design and develop high-performance software solutions for computer vision applications using C++ and Python. Design, train and evaluate deep learning models for computer vision tasks such as object detection, tracking and segmentation. Conduct research on advanced image processing algorithms and contribute to novel techniques for visual data understanding. Develop robust model training pipelines using PyTorch or TensorFlow, incorporating data augmentation, transfer learning and optimization strategies. Collaborate with video pipeline teams to ensure models are compatible with real-time inference requirements (e.g., for NVIDIA DeepStream or TensorRT deployment). Perform data analysis, visualization and curation to support training on high-quality and diverse datasets. Contribute to both academic publication efforts and applied R&D initiatives. Stay current with the latest research in computer vision and integrate state-of-the-art techniques where applicable. Key Responsibilities: Lead model development cycles, from problem definition through experimentation and final training. Implement and optimize data structures and algorithms to ensure efficiency and scalability. Design and implement scalable training and validation workflows for large-scale datasets. Design, develop and optimize software solutions in C++ and Python for high-performance Computer Vision Products. Tune model architectures and hyperparameters for optimal accuracy and inference speed and evaluate model performance Collaborate with engineering teams to optimize models for deployment in edge environments or real-time systems. Maintain detailed documentation of experiments, training results and model behavior. Contribute to internal tools, utilities and reusable components for efficient experimentation and deployment. Support knowledge sharing through papers, or patents. What we are looking for: B.E./M.E. in Computer Science and Engineering/Electronics/Electrical. 5+ years of experience in AI model development with a focus on computer vision and image processing. Strong expertise in deep learning frameworks such as PyTorch or TensorFlow. Proven track record in training models for tasks like detection (YOLO, Faster R-CNN), segmentation (UNet, DeepLab), or enhancement (SRGAN, ESRGAN). Solid understanding of classical image processing techniques (filtering, transformations, edge detection, etc.). Experience working with large-scale datasets and training on GPUs. Familiarity with model optimization for deployment (ONNX, TensorRT, pruning, quantization). Strong mathematical foundation in linear algebra, statistics and signal processing Practical experience in using Docker for containerizing applications and managing software dependencies. Why Join Us? Be part of an innovative company at the forefront of AI-driven video computing. Opportunity to work with top-tier partners and industry leaders. Competitive salary, performance incentives and professional growth opportunities. Embark on an impactful journey with Videonetics, where you'll work on innovative products that enhance safety, efficiency and sustainability, ultimately making a positive difference in society Global presence: Collaborate with international clients and teams, expanding your professional horizons If you are passionate about building strong Product and driving strategic decisions, we invite you to be part of our growth journey at Videonetics!

Job Title: Senior AI/ML Engineer Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Experience: 2- 3+ years Employment Type: Full-time Position - 2 About Us At Muks Robotics AI Pvt. Ltd. , we are at the forefront of AI-driven robotics innovation. Our mission is to integrate Artificial Intelligence and Machine Learning into robotics solutions that transform industries and improve lives. We’re looking for a talented and passionate Senior AI/ML Engineer to join our growing team and help build intelligent systems that shape the future. Roles & Responsibilities: Design, develop, and implement cutting-edge machine learning and deep learning models for robotics and automation. Collaborate with cross-functional teams (Robotics, Embedded, Software) to integrate AI models into real-time robotic systems. Lead end-to-end AI/ML project lifecycles – from data collection, preprocessing, model training, evaluation, and deployment. Optimize models for performance and real-time inference on edge devices. Research and implement novel algorithms and techniques from recent AI/ML publications. Mentor junior engineers and contribute to team knowledge-sharing sessions. Monitor and maintain deployed models, ensuring robustness and accuracy over time. Required Skills: Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning, deep learning (CNNs, RNNs, Transformers), and computer vision. Hands-on experience with AI model deployment (TensorRT, ONNX, Docker, etc.). Experience with data pipelines, data augmentation, and annotation tools. Good knowledge of algorithms, data structures, and system design. Familiarity with ROS (Robot Operating System), edge computing, or real-time inference is a strong plus. Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Robotics, or related fields. Minimum 2 years of relevant industry experience in AI/ML with successful project deliveries. Publications in top AI/ML conferences (optional but desirable). Why Join Us? Work on cutting-edge robotics AI applications. Collaborative and research-oriented culture. Fast-paced, innovation-driven startup environment. Opportunities to lead and grow with the company.

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries. As a Machine Learning Engineer, the purpose of this role is to work with our machine learning research team to develop, implement and deploy machine learning and deep learning models. Our core area of work is in the field of computer vision so you will require some familiarity with convolutional neural networks. Please find our research page : https://research.fynd.com/ Some of our products: https://www.erase.bg/, https://www.upscale.media/ What will you do at Fynd? Work on the deployment of machine learning and deep learning models. Help in accelerating model inference using various compression tools like onnx, Torch script, TensorRT, OpenVINO ....etc. Develop and maintain a data streaming pipeline (both batch and real-time) for data integration and large-scale machine learning. Deliver best practices recommendations and technical presentations around machine learning deployment including real-time modeling. Maintain and further enhance the internal model feature store and optimize the feature engineering script. Full life cycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment. Responsible for the end-to-end deployment of predictive models including scoping, testing, implementation, maintenance, tracking, and optimization of predictive models. Responsible for complete and accurate documentation of all development around machine learning engineering. Some Specific Requirements 4+ years of experience implementing and deploying machine learning and deep learning frameworks through distributions cluster and application programming in cloud platforms including AWS and GCP. Basic Knowledge of tools/libraries such as TensorFlow, PyTorch, Keras, NumPy, pandas etc. Strong understanding of data structures and algorithms and experience in Python. Some experience with computer vision(classification, segmentation, object detection) pipelines Deep experience across systems integration, information management, data management and architecture, and business analytics. Language: Python, Java, Scala, Unix bash script, REST API process. What do we offer? Growth Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially. Flex University: We help you upskill by organising in-house courses on important subjects Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you. Culture Community and Team building activities Host weekly, quarterly and annual events/parties. Wellness Mediclaim policy for you + parents + spouse + kids Experienced therapist for better mental health, improve productivity & work-life balance We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment!

Skills: Deep Learning, TensorFlow/PyTorch, Python, Machine Learning, Robotics Software Architecture, ROS, Job Title: Senior AI/ML Engineer Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Experience: 2- 3+ years Employment Type: Full-time Position - 2 About Us At Muks Robotics AI Pvt. Ltd. , we are at the forefront of AI-driven robotics innovation. Our mission is to integrate Artificial Intelligence and Machine Learning into robotics solutions that transform industries and improve lives. Were looking for a talented and passionate Senior AI/ML Engineer to join our growing team and help build intelligent systems that shape the future. Roles & Responsibilities Design, develop, and implement cutting-edge machine learning and deep learning models for robotics and automation. Collaborate with cross-functional teams (Robotics, Embedded, Software) to integrate AI models into real-time robotic systems. Lead end-to-end AI/ML project lifecycles from data collection, preprocessing, model training, evaluation, and deployment. Optimize models for performance and real-time inference on edge devices. Research and implement novel algorithms and techniques from recent AI/ML publications. Mentor junior engineers and contribute to team knowledge-sharing sessions. Monitor and maintain deployed models, ensuring robustness and accuracy over time. Required Skills Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning, deep learning (CNNs, RNNs, Transformers), and computer vision. Hands-on experience with AI model deployment (TensorRT, ONNX, Docker, etc.). Experience with data pipelines, data augmentation, and annotation tools. Good knowledge of algorithms, data structures, and system design. Familiarity with ROS (Robot Operating System), edge computing, or real-time inference is a strong plus. Qualifications Bachelors or Masters degree in Computer Science, AI/ML, Data Science, Robotics, or related fields. Minimum 2 years of relevant industry experience in AI/ML with successful project deliveries. Publications in top AI/ML conferences (optional but desirable). Why Join Us? Work on cutting-edge robotics AI applications. Collaborative and research-oriented culture. Fast-paced, innovation-driven startup environment. Opportunities to lead and grow with the company.

Key responsibilities Develop scalable infrastructure, including microservices and a backend with models for classification, regression, NLP, computer vision, or recommendation systems, depending on business needs. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Model deployment / model monitoring experience is desirable. CI/CD pipeline creation is good to have. B.Tech from Tier-1 college / M.S or M. Tech is preferred Qualification: Good communication skills Highly self-directed with ability to meet deadlines, and understand and follow operating workflows Responsible, reliable and proactively communicative Able to maintain sharp focus with repetitive tasks for long periods of time Meticulous attention to detail - discrepancies and inconsistencies stand out to you and you seek resolutions Flexible and adaptive to updated priorities and changing workflows; willing to support multiple parallel projects and accept reprioritization as necessary Eager to learn; proactively asks questions to grasp the ‘why’ behind both processes and technical rules/requirements regarding data assignment, clean-up and movement Nice to have : Merchandise expertise in the categories of Fashion, Home and Beauty, specifically A love for both the retail industry as well as emerging and modern technology Prior experience with data labeling and annotation