8 Inference Pipelines Jobs

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...

Role Overview: Cowbell is leading the way in cyber insurance by utilizing technology and data to provide small and medium-sized enterprises (SMEs) with early detection of cyber risk exposures paired with flexible cyber insurance coverage that can adapt to present and future threats. Embracing adaptive insurance, Cowbell closely monitors policyholders" cyber risk exposures as they change through ongoing risk assessment and underwriting. With its innovative AI-driven approach to risk selection and pricing, Cowbell's underwriting platform, powered by Cowbell Factors, streamlines the insurance process from submission to issuance in less than 5 minutes. Key Responsibilities: - Design and implemen...

Job Title: Senior AI Engineer (Remote) Experience: 7+ Years Location: Remote Domain: Agentic AI Systems, Large Language Models (LLMs) About The Role We are seeking a highly skilled Senior AI Engineer with deep expertise in Agentic AI architectures , LLM-based systems , and advanced machine learning techniques. This is remote opportunity to work with a cutting-edge team driving the future of autonomous and intelligent systems powered by LLMs As a Senior AI Engineer, you'll play a key role in designing, developing, and deploying agentic workflows, LLM-driven pipelines, and intelligent task automation. You should be comfortable operating independently, contributing to architectural decisions, a...

As a part of Cowbell's innovative team in the field of cyber insurance, you will play a crucial role in designing and implementing RAG-based systems, integrating LLMs with vector databases, search pipelines, and knowledge retrieval frameworks. Your responsibilities will include developing intelligent AI agents that automate tasks, retrieve relevant information, and enhance user interactions. You will work with APIs, embeddings, and multi-modal retrieval techniques to improve the performance of AI applications. Additionally, you will be tasked with optimizing inference pipelines and enhancing LLM serving, fine-tuning, and distillation for efficiency. Staying abreast of the latest advancements...

You should have a minimum of 2 years of relevant experience in Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. Additionally, you should have exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. Moreover, hands-on experience with modality-specific encoder models for multi-modal AI applications and proficiency in model fine-tuning, prompt engineering, and using both open-source and proprietary LLMs is required. Experience with model quantization, optimization, and conversion techniques for efficie...

As a Computer Vision Engineer at RNT Health Insights, you will be at the forefront of researching, developing, and implementing spatiotemporal algorithms for detecting and delineating lesions in real-time during endoscopic video feeds. Your role will involve collaborating with a multidisciplinary team of AI researchers, gastroenterologists, and software engineers to enhance both spatial and temporal accuracy in lesion detection. You will be responsible for designing preprocessing pipelines, optimizing models, and ensuring low latency, high-performance deployment in clinical settings. Key Responsibilities - Algorithm Development: Research, develop, and implement spatiotemporal techniques comb...

As a Machine Learning Engineer at Aera Technology, you will play a crucial role in designing, implementing, monitoring, and maintaining the machine learning systems that power our Aera Decision Cloud platform. Your responsibilities will involve working on new and challenging engineering problems to operationalize data science, collaborating closely with experts in Data Science, Engineering, and DevOps teams, and designing state-of-the-art Machine Learning approaches. Your main tasks will include building core machine learning infrastructure, such as distributed systems, development tools, model serving, and inference pipelines. Additionally, you will take end-to-end ownership of developing M...

About the Role: We are looking for a highly skilled AI & Deep Learning Engineer to develop intelligent solutions that support and optimize our manual and semi-automated product assembly lines . The role involves defect detection using vision systems, process improvement through AI, and potential robotic integration. The ideal candidate will work closely with our teams in both India and China . Key Responsibilities: Design and implement AI models for product defect detection, assembly verification, and process enhancement. Develop and train computer vision models (e.g., object detection, segmentation, anomaly detection) on real assembly data. Work on model deployment for real-time edge infere...