164 Tensorrt Jobs - Page 2

As a Senior Data Scientist (Generative AI), you will lead the design, research, and implementation of advanced AI solutions to address complex business challenges. You will work across the full ML lifecyclefrom ideation and experimentation to scalable deploymentdeveloping and fine-tuning models such as LLMs, diffusion models, and multi-agent systems. Responsibilities: Build, fine-tune, and deploy generative AI and LLM-based solutions using frameworks like LangChain, HuggingFace, and PyTorch Develop, test, and optimize RAG pipelines, diffusion models, and AI agents for real-world use cases. Collaborate with engineering teams to productionize ML solutions with MLOps tools (MLflow, Kubeflow, W&...

Role Overview We design, manufacture and deliver high-speed optical sorting, inspection, automatic counting and packaging machines. We are hiring a Machine Vision Engineer proficient in both classical vision and modern deep learning to tackle real-world challenges in surface/cosmetic defect detection, thread inspection, dimensional measurement and high-speed counting. Key Responsibilities Develop & deploy deep learning models (YOLO, CNNs, segmentation, anomaly detection) using TensorFlow/PyTorch for surface & cosmetic defects Build classical vision pipelines ( OpenCV /HALCON) for dimensional measurement, thread verification and high-speed inspection Optimize & deploy models ( ONNX, TensorRT,...

Company Description Peach Blocks is a bootstrapped AI research startup focused on cutting-edge machine learning, computer vision, and robotics applications. Founded by IIT and NIT alumni with industry experience, we're building innovative solutions in LLM fine-tuning, edge deployment, and sensor fusion. Our team works on real-world AI problems with access to high-performance GPU infrastructure (RTX 5090, 4070, 3070) for training and fine-tuning models up to 8B parameters. We're committed to publishing research, contributing to open-source, and mentoring the next generation of AI researchers. As a self-funded startup, we prioritize investment in computational resources and research infrastruc...

Job Title: Artificial Intelligence (AI) Engineer Location: Gurugram, India (Onsite Only) Company: Rx One Care Pvt. Ltd. Type: Full-Time | Immediate Joining Preferred Role Overview deployments, and scalable backend services. You will play a key role in building, fine-tuning, and deploying AI-powered solutions (voice, NLP, automation) that power RxOne's next-gen patient engagement and clinical workflow intelligence platform. Key Responsibilities Build, fine-tune, and optimize open-source LLMs , ASR/TTS models, and other ML components. Develop and maintain containerized ML pipelines using Docker & Kubernetes. Deploy inference services in cloud-native environments (AWS/GCP/Azure). Collaborate wi...

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join...

As an AI/ML Software Developer at our company in Mumbai, your role will involve designing, developing, and deploying scalable machine learning solutions and intelligent multi-agent systems. You should have hands-on experience with deep learning frameworks, NLP, computer vision, and reinforcement learning to build end-to-end AI applications. Key Responsibilities: - Develop, train, and optimize machine learning and deep learning models for real-world applications. - Build and deploy scalable AI workflows on cloud platforms such as AWS SageMaker and Google AI Platform. - Architect and implement multi-agent systems leveraging reinforcement learning (RL) for automated decision-making. - Develop c...

About TalentGum TalentGum is transforming extracurricular learning for children aged 514 years through engaging live online courses in music, dance, chess, and public speaking etc. Our mission is to build the next generation of learning intelligence an AI-driven platform that can observe, understand, and help children improve their creative and cognitive skills through personalized, real-time insights. We are looking for AI Research Engineers who are passionate about bridging human creativity and machine intelligence, and want to work at the intersection of AI, performance, and education. Role Overview As an AI Research Engineer , you'll design and develop machine learning systems that can u...

Role Overview- We are seeking a highly skilled and motivated MLOps Engineer with a strong background in computer vision. In this role, you will be responsible for the full lifecycle of our machine learning models, from development and optimisation to deployment and scaling. You will build and maintain the infrastructure that allows our cutting-edge computer vision algorithms to run reliably and efficiently in production. The ideal candidate will have a deep understanding of both MLOps principles and 3D computer vision, with hands-on experience in containerization, model optimisation, and scalable systems. Key Responsibilities: • Design, build, and maintain robust, scalable, and automated MLO...

We are seeking a Mid-Level AI/ML Engineer to join our clients AI team and contribute to the development of cutting-edge intelligent systems. In this role, youll be responsible for designing, training, and deploying machine learning models that power innovative features across devices and services. This is an exciting opportunity to work with a global technology leader in the telecommunications sector, applying your expertise to real-world applications that impact millions of users. Required Qualifications Develop and fine-tune machine learning algorithms. Conduct experiments, evaluate model performance, and suggest improvements. Collaborate with senior engineers to implement production-ready...

Role Overview: OutcomesAI is a healthcare technology company focused on building an AI-enabled nursing platform to support clinical teams, automate workflows, and enhance nursing capacity. The core product suite includes Glia Voice Agents, Glia Productivity Agents, and AI-Enabled Nursing Services. The AI infrastructure is designed for healthcare environments, ensuring safety, empathy, and clinical accuracy within a HIPAA-compliant and SOC 2-certified framework. The company aims to establish the world's first AI + nurse hybrid workforce to improve access, safety, and efficiency in patient care. Key Responsibilities: - Containerize and deploy speech models using Triton Inference Server with Te...

As a Sr. Computer Vision Engineer at Visionify, you will have the opportunity to work on cutting-edge challenges in the field of Computer Vision by leveraging your expertise in developing novel algorithms and optimizations. The majority of our projects are focused on applied Computer Vision, requiring a solid understanding of current state-of-the-art models such as Classification, Object detection, Object Recognition, OCR, LayoutML, GAN, etc. Your primary language will be Pytorch, so prior experience with Pytorch is essential. Additionally, familiarity with Azure and Azure ML Studio framework would be advantageous. Responsibilities: - Understand business objectives and develop Computer Visio...

As a Machine Learning Systems Architect, your role will involve leading the architecture, development, and deployment of scalable machine learning systems with a focus on real-time inference for LLMs serving multiple concurrent users. You will be responsible for optimizing inference pipelines using high-performance frameworks such as vLLM, Groq, ONNX Runtime, Triton Inference Server, and TensorRT to minimize latency and cost. Your key responsibilities will include: - Designing and implementing agentic AI systems utilizing frameworks like LangChain, AutoGPT, and ReAct for autonomous task orchestration. - Fine-tuning, integrating, and deploying foundation models including GPT, LLaMA, Claude, M...

As a skilled Senior Robotics Engineer at Muks Robotics AI Pvt. Ltd., your role will involve designing, building, and deploying real-time perception and mapping systems for autonomous robotic platforms. You will play a crucial part in developing robust algorithms for accurate localization, dense 3D reconstruction, and 2D/3D autonomous navigation in complex environments. **Key Responsibilities:** - Architect, implement, and optimize real-time and multi-sensor SLAM algorithms for accurate localization and mapping. - Develop and optimize visual odometry, feature tracking, loop closure, and bundle adjustment pipelines. - Design and integrate multi-sensor fusion pipelines (LiDAR, cameras, IMUs, wh...

About Netskope Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to ...

As a Senior Software Engineer (SDE III) at Glance AI, you will be responsible for building, profiling, and optimizing GPU workloads to power next-generation generative AI experiences, ranging from Stable Diffusion image generation to transformer-based multimodal models. You will collaborate closely with research and infrastructure teams to enhance model inference speed, cost efficiency, and readiness for production. This role is perfect for individuals who are passionate about maximizing GPU performance, developing high-performance kernels, and translating cutting-edge research into scalable systems. Key Responsibilities: - Develop, optimize, and maintain GPU kernels (CUDA, Triton, ROCm) for...

As a Machine Learning Systems Architect, your primary responsibility will be to lead the architecture, development, and deployment of scalable machine learning systems with a focus on real-time inference for Large Language Models (LLMs) to serve multiple concurrent users. To achieve this, you will: - Optimize inference pipelines using high-performance frameworks such as vLLM, Groq, ONNX Runtime, Triton Inference Server, and TensorRT to minimize latency and cost. - Design and implement agentic AI systems using frameworks like LangChain, AutoGPT, and ReAct for autonomous task orchestration. - Fine-tune, integrate, and deploy foundation models like GPT, LLaMA, Claude, Mistral, Falcon, and other...

As a fresher / entry-level AI Engineer, you will have the opportunity to work on cutting-edge computer vision projects focusing on NVIDIA Jetson platforms for real-time AI solutions in manufacturing and industrial automation. Your role will involve collaborating with senior engineers, developing and testing vision models, optimizing model accuracy, deploying trained models on Jetson devices, participating in field testing, and documenting experiments and deployment steps. Key Responsibilities: - Assist in developing and testing vision models for defect detection, OCR, and object recognition. - Work on preprocessing pipelines for improving model accuracy through image cleaning and augmentatio...

Job Description: 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, you'll 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 scalabl...

We're building production-grade LLM/AI capabilities into our Cloud Operating System and we need someone who can ship. If you like taking AI from prototype ? scalable product, this is for you. What you'll do Design and ship AI/LLM features that run in production Build RAG-style systems (embeddings, vector search) that actually perform Own model serving, observability, and reliability across our AI stack What we're looking for Strong Go (Golang) for production ML services LLMs, RAG, embeddings, vector search (FAISS / pgvector) PyTorch or TensorFlow and experience with model serving/inference MLOps : CI/CD, monitoring, evaluations, Docker/Kubernetes, GPUs Inference engine experience: e.g. vLLM,...

Role Summary We are looking for a senior Computer Vision / Perception expert for ADAS perception team. This role will be responsible for developing camera-based perception algorithms, building sensor fusion capabilities, and creating scalable pipelines that enable advanced driver assistance features. The candidate will act as the foundational technical leader , driving both hands-on development and team building. Key Responsibilities Computer Vision & Perception Development Design and implement perception algorithms for object detection, tracking, lane detection, drivable area segmentation, and free space estimation . Develop multi-sensor fusion (camera + radar + LiDAR optional) for robust p...

About the Company We are building AI-powered industrial machines. We believe manufacturing is an art form that has been left behind. Our mission is to give this art the tools it deserves by building machines that can learn, adapt, and improve. We're creating factories that can think. We are a small, ambitious team building from first principles, and we're looking for people who want to shape the future of manufacturing. About the Role We are building intelligent machines that interact with the physical world. As a Founding AI Engineer, you will design and deploy the AI models that run at the edge, powering real-time decisions in complex industrial environments. This is a chance to build comp...

As a Computer Vision Engineer at our company, you will play a crucial role in developing, implementing, and optimizing deep learning models to drive advanced AI solutions across various industries. Your responsibilities will include: - Developing, porting, and optimizing computer vision algorithms and data structures on proprietary cores - Writing maintainable, reusable code leveraging test-driven principles to develop high-quality computer vision and machine learning modules - Owning the product development milestone, ensuring delivery to the architecture, and identifying challenges - Driving innovation in the product and engineering best practices - Involvement in research and development ...

Position Title: TinyML / Embedded AI Principal Engineer Location: Bangalore Experience Required: 15+ Years Employment Type: Full-Time Role Purpose: The TinyML / Embedded AI Principal Engineer will lead the design, development, optimization, and deployment of AI solutions on edge and resource-constrained embedded devices. This role is critical to enabling real-time, mission-critical AI inference across advanced programs, with a focus on sensor fusion, hardware-software co-design, and embedded intelligence under strict latency, power, and memory constraints. Key Responsibilities: Architect and deploy TinyML / Embedded AI models for real-time inference on microcontrollers, SoCs, FPGAs, and cust...

Lead the architecture, development, and deployment of scalable machine learning systems, focusing on real-time inference for LLMs serving multiple concurrent users. Optimize inference pipelines using high-performance frameworks like vLLM, Groq, ONNX Runtime, Triton Inference Server, and TensorRT to minimize latency and cost. Design and implement agentic AI systems utilizing frameworks such as LangChain, AutoGPT, and ReAct for autonomous task orchestration. Fine-tune, integrate, and deploy foundation models including GPT, LLaMA, Claude, Mistral, Falcon, and others into intelligent applications. Develop and maintain robust MLOps workflows to manage the full model lifecycle including training, ...

We are looking for a Senior Software Engineer who thrives on hands-on coding and problem solving to build the real-time data pipelines and serving systems that power large-scale ML models. You will be directly responsible for designing, coding, and optimizing ETL pipelines, GPU inference serving that ensure models get the freshest data and serve results with millisecond-level latency. This role is ideal for someone who loves to write high-quality production code, profile and debug performance bottlenecks, and ship optimizations at scale, while collaborating closely with applied scientists and other engineers. Microsoft's mission is to empower every person and every organization on the planet...