102 Model Optimization Jobs

As a Machine Learning Operations (MLOps) Engineer at Neolytix working on US Healthcare Claims Management, your role will involve building, deploying, and maintaining AI/ML systems for the healthcare Revenue Cycle Management (RCM) platform. You will be responsible for operationalizing machine learning models to analyze claims, prioritize denials, and optimize revenue recovery through automated resolution pathways. **Key Responsibilities:** - Design and implement end-to-end ML pipelines for claims processing, including automated training, testing, and deployment workflows - Deploy and orchestrate LLMs and SLMs in production using containerization (Docker/Kubernetes) and Azure cloud services - ...

Role Overview: You will be a Computer Vision Engineer at RNT Health Insights, playing a crucial role in developing and implementing spatiotemporal algorithms for real-time lesion detection during endoscopic procedures. Your work will involve collaborating with a diverse team to enhance spatial and temporal accuracy in lesion detection, designing preprocessing pipelines, optimizing models, and ensuring high-performance deployment in clinical settings. Key Responsibilities: - Research, develop, and implement spatiotemporal techniques combined with CNN and other spatial models for real-time lesion detection in endoscopic video streams. - Investigate and apply state-of-the-art techniques like LS...

As an AI Software Engineer at our company, you will play a crucial role in driving innovation and enhancing our software products through intelligent automation and advanced AI solutions. Your primary responsibilities will include designing AI algorithms, working with large datasets, and delivering smart, scalable features. Responsibilities: - Develop and deploy AI algorithms for real-time product integration. - Build and maintain data models and pipelines for large-scale data processing. - Implement autoclassification systems for unstructured data handling. - Work on AI-driven code automation and smart programming tools. - Ensure robust AI software performance using scalable infrastructure ...

As a highly experienced AI/ML Engineer, you will be responsible for developing and deploying cutting-edge Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to work on document parsing, Named Entity Recognition (NER), Retrieval-Augmented Generation (RAG), chatbots, and intelligent document systems. Your passion for AI will drive you to work on large-scale, impactful projects. Your key responsibilities will include: - Developing ML & DL models to solve complex business problems and enhance product functionality. - Building and deploying personalized LLMs for various applications. - Designing and implementing document parsing, NER, RAG, chatbot, and document processing...

Job Title: Principal Machine Learning Engineer Location: [Add Location or Remote/Hybrid Option] Experience: Minimum 5 years Employment Type: Full-time About the Role: We are looking for an experienced Principal Machine Learning Engineer to architect and implement advanced multimodal RAG (Retrieval-Augmented Generation) pipelines that integrate vision and language understanding. The ideal candidate will bring deep expertise in Machine Learning, Computer Vision, and Natural Language Processing (NLP), with hands-on experience in building scalable AI systems and deploying them using AWS AI services. Key Responsibilities: Architect and implement end-to-end multimodal RAG pipelines , integrating t...

Role Overview: You will be part of the System Performance team at Qualcomm India Private Limited, responsible for profiling and optimizing System Performance on Snapdragon Data center chipsets. Your role will require a strong knowledge of AI/ML performance using NPU cores, with additional advantage if you have knowledge of CPU, DDR, and NoCs. Key Responsibilities: - Drive performance analysis on silicon using various System and Cores benchmarks like Dhrystone, GeekBench, SPECInt, CNN/GenAI ML networks. - Utilize performance tools to analyze load patterns across IPs and identify performance bottlenecks in the system. - Analyze Perf KPIs of SoC subsystems like NPU, CPU, Memory, and correlate p...

About Us : We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. We're growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology. Key Responsibilities: Lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. Translate business needs into scalabl...

We are seeking an experienced AI Engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of Conversational AI. In this role, you will design, develop, and deploy scalable AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to power intelligent products and services. As part of our ML/AI team, youll own the full lifecycle of model development — from data preparation and fine-tuning to inference optimization and deployment in production environments. Responsibilities: Design, fine-tune, and deploy LLM-based applications for Conversational AI use cases Build scalable retrieval-augm...

As an AI/ML Engineer at UBS, you will play a crucial role in transforming compliance and risk governance through the power of AI and machine learning. Your responsibilities will include: - Designing and developing the AI/ML strategy across GCRG, aligning with regulatory expectations and business goals. - Leading the design and implementation of scalable AI/ML solutions for group Compliance. - Championing the adoption of responsible AI practices, ensuring transparency, fairness, and explainability in model development and deployment. - Collaborating with cross-functional teams including data scientists, engineers, data engineers, and business stakeholders to deliver impactful outcomes. - Stay...

As an AI/ML Engineer, you will be responsible for the following: - 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. You will be the decision-maker in Build Vs Buy scenarios. - Drive innovation in AI/ML applications across various business domains and modalities such as vision, language, and audio. - Implement Best practices in AI/ML, 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. Your qualifications should include: - Overall 5 to 7 years of experience, with at least 4 years in AI, ML, and Gen AI technologies. - Proven...

You will be responsible for leading the research, design, and development of advanced computer vision models for tasks such as object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. You will need to translate business requirements into scalable scientific solutions by utilizing cutting-edge deep learning and classical computer vision techniques. Additionally, you will design and conduct experiments to assess the performance, robustness, and accuracy of computer vision models in real-world production settings. Collaborating with cross-functional teams, including software engineering, product, and data teams, to integrate vision models into applications is also a ke...

As a Machine Learning Instructor at MIT Academy SDN BHD, you will play a vital role in educating and mentoring students in the field of machine learning and artificial intelligence. Your passion for teaching and strong technical expertise will be essential in delivering engaging lectures, guiding students through real-world projects, and staying updated with industry trends. Key Responsibilities: - Design, develop, and deliver engaging lectures, labs, and projects in Machine Learning and related topics. - Teach core concepts such as supervised and unsupervised learning, neural networks, natural language processing, computer vision, and model deployment. - Guide students through real-world pr...

About Us Beatly.AI is a fast-growing artificial intelligence company focused on building intelligent, data-driven solutions that make a real-world impact. We develop cutting-edge technologies that enhance decision-making and efficiency across critical domains. If you're passionate about creating meaningful AI products and thrive in a collaborative, innovation-driven environment, we'd love to have you on our team. About the Role We are looking for aSenior AI/ML Engineer with strong hands-on experience in Convolutional Neural Networks (CNNs) and traditional deep learning techniques. The role involves designing, developing, and deploying machine learning models for pattern recognition and time-...

Location: Noida (WFO) Timings: 10:30 AM to 7:30 PM; Mon-Fri About the Role We are seeking a talented LLM (Large Language Model) Engineer to join our growing AI/ML team. The ideal candidate will have hands-on experience working with modern natural language processing (NLP) systems, large-scale model training, fine-tuning, and deployment. You will collaborate closely with data scientists, ML engineers, and product teams to design and optimize solutions powered by cutting-edge language models. Key Responsibilities Design, train, fine-tune, and evaluate large language models (LLMs) for various use cases. Implement prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniqu...

You will play a vital role in a dynamic team as an AI/ML Developer, responsible for crafting, implementing, and launching machine learning and AI solutions to foster innovation and address real-world challenges. This exciting position offers you the chance to engage with state-of-the-art technology, test diverse models, and infuse intelligence into various products. - Design, develop, and deploy machine learning models and AI algorithms for applications like NLP, CV, and predictive analytics. - Collaborate with cross-functional teams comprising data engineers, software developers, and product managers. - Conduct data preprocessing, feature engineering, and model optimization. - Integrate ML ...

Join Tether and Shape the Future of Digital Finance At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting-edge solutions empower businessesfrom exchanges and wallets to payment processors and ATMsto seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world's most trusted stablecoin, USDT , reli...

Role Overview: As an Experienced Data Scientist at the company, you will be focused on developing and implementing Generative AI solutions to tackle critical business challenges and discover new opportunities. Your expertise in data science, machine learning, and Generative AI techniques will be vital in driving impactful projects from inception to implementation. Key Responsibilities: - Data Handling & Preparation: - Work with diverse and large-scale datasets. - Perform data cleaning, preprocessing, and feature engineering. - Create synthetic datasets for training and evaluating Generative AI models. - Maintain data quality and integrity throughout the model development process. - Model Opt...

Job Description: As an experienced professional with 15 to 23 years of expertise in Vision AI Solution, Nvidia, Computer Vision, Media, and Open Stack, you will play a crucial role in defining and leading the technical architecture for vision-based AI systems across edge and cloud environments. Your responsibilities will include designing and optimizing large-scale video analytics pipelines, architecting distributed AI systems, collaborating with cross-functional teams to develop scalable AI solutions, leading efforts in model optimization, integrating multi-modal AI, guiding platform choices, mentoring senior engineers, staying updated with emerging technologies, and contributing to interna...

As a highly experienced Computer Vision Specialist / AI Engineer, you will lead the design, development, and deployment of computer vision and AI-based systems. Your responsibilities will include architecting and implementing advanced vision-based algorithms and deep learning models, delivering real-time solutions for various applications such as facial recognition, motion detection, object detection, number plate recognition (ANPR), footfall counting, gender and age detection, behavioral analysis, and emotion recognition. Additionally, you will optimize AI/ML models for deployment on edge devices, cloud, or hybrid environments using tools like TensorRT, OpenVINO, or ONNX. Collaboration with...

Role & Responsibilities 4+ years of experience applying AI to practical uses. Develop and train computer vision models for tasks like: Object detection and tracking (YOLO, Faster R-CNN, etc.) Image classification, segmentation, OCR (e.g., PaddleOCR, Tesseract). Face recognition/blurring, anomaly detection, etc. Optimize models for performance on edge devices (e.g., NVIDIA Jetson, OpenVINO, TensorRT). Process and annotate image/video datasets; apply data augmentation techniques. Proficiency in Large Language Models. Strong understanding of statistical analysis and machine learning algorithms. Hands-on implementing various machine learning algorithms such as linear regression, logistic regress...

Description Hardware Silicon and Systems Group leads the development and optimization of on-device ML models for Amazon's hardware products, including audio, vision, and multi-modal AI features. We work at the critical intersection of ML innovation and silicon design, ensuring AI capabilities can run efficiently on resource-constrained devices. Currently, we enable production ML models across multiple device families, including Echo, Ring/Blink, and other consumer devices. Our work directly impacts Amazon's customer experiences in consumer AI device market. The solutions we develop determine which AI features can be offered on-device versus requiring cloud connectivity, ultimately shaping pr...

We are seeking an experienced AI/ML Architect to lead the design, development, and deployment of Generative AI solutions. This role requires a deep understanding of AI/ML architectures, technical leadership, and the ability to design robust, scalable, and production-ready systems. The ideal candidate will have extensive experience in cloud platforms like GCP and optionally AWS, Azure, or equivalent tools, combined with hands-on expertise in MLOps, containerization, data processing, and advanced model optimization. You will work closely with cross-functional teams, technical leadership, and stakeholders to implement state-of-the-art AI solutions that solve real-world challenges and drive busi...

We are seeking an experienced AI Engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of Conversational AI. In this role, you will design, develop, and deploy scalable AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to power intelligent products and services. As part of our ML/AI team, youll own the full lifecycle of model development — from data preparation and fine-tuning to inference optimization and deployment in production environments. Responsibilities: Design, fine-tune, and deploy LLM-based applications for Conversational AI use cases Build scalable retrieval-augm...

As a technical leader in the Digital Video Audio (DVA) team at Adobe, you will play a crucial role in shaping the future of powerful Video and Audio Products. Your responsibilities will include: - Leading the design, implementation, and optimization of deep learning models for production applications. - Applying innovative algorithms in areas such as computer vision, image/video processing, and generative models to solve complex business problems. - Collaborating with Product Teams and Researchers to align machine learning projects with business goals. - Guiding technical decision-making and defining standard approaches for model development and training pipelines to achieve business goals. ...

Company Overview We are a innovative technology company specializing in embedded AI solutions. Our team develops cutting-edge applications for resource-constrained environments, leveraging hardware like NVIDIA Jetson-compatible System on Modules (SOMs) to deliver real-time AI capabilities across various industries. Job Summary We are seeking a talented AI/ML Developer to join our embedded systems team. In this role, you will focus on developing and optimizing AI models for deployment on NVIDIA Jetson-compatible SOMs. Your work will involve training models using reinforcement learning techniques, creating custom models that integrate vision, network, and system data, and incorporating voice i...