3 Nvidia Triton Jobs

About Entrupy Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods. Entrupy&aposs solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan and Brazil. Entrupy&aposs solutions in market: Entrupy Luxury Authentication Entrupy Sneaker Authentication Entrupy Fingerprinting As we continue to build... We&aposre seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you&aposre invigorated by our mission, values, and drive to change the world we&aposd love to have you apply. About the role We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting. In this role, you will drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. You will also oversee the optimization of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust. As a senior team member, you will collaborate cross-functionally to define and deliver impactful projects, and contribute to thought leadership in the computer vision domain. Reports to: ML Manager Location: Bangalore, India (Hybrid) What You&aposll Do: Leadership & Strategy Define the technical roadmap for computer vision projects, aligning with business goals and customer needs. Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence. Advanced Research & Algorithm Development Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications. Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability. Scalable Systems & Model Deployment Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems. Optimize algorithms for edge device deployment, focusing on latency, accuracy, and power consumption. Collaboration & Stakeholder Engagement Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions. Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance. Operational Excellence Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards. Analyze production data to identify opportunities for continuous improvement in algorithms and systems. Who you are: Education: Bachelor&aposs or Master&aposs in Electronics, Physics, Computer Science, or related field. Experience: 4-7 years in computer vision and machine learning development. Core Expertise: Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies. Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA. Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines. Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray. Mathematical Proficiency: Strong foundation in probability, statistics, optimization, linear algebra, and geometry. EdgeML Experience: Skilled in deploying and optimizing models for iOS devices, with a focus on real-time data processing and resource efficiency. Collaboration & Communication: Ability to articulate technical concepts and collaborate in cross-functional, global teams. Ownership & Drive: A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges. What we offer Market competitive and pay equity-focused compensation structure Hybrid with Flexible work from anywhere for 4-8 weeks per year Generous time away, including company holidays, paid time off, sick time, parental leave, and more! Rich medical benefits and insurance coverage. The agency to innovate, directly impacting product features and customer experiences. Opportunity to be part of the core team in a growing setup. Opportunities to publish research, contribute to patents, and further develop CVML and edgeML expertise. We have had an incredible run so far and laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values we hire by them, promote them, and celebrate them every day. If you are a visionary Computer Vision / ML engineer with extensive experience in crafting production-ready solutions, a passion for mentoring, and a desire to solve impactful challenges, we&aposd love to connect! Entrupy embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Show more Show less

As an AI Platform Engineer, you should have a minimum of 8 years of experience in the relevant field, with internships, prototypes, and personal projects not being considered. Proficiency in coding is essential, preferably in Python or Java. You should possess experience in DevOps Culture, including owning development and deployment processes end-to-end. Additionally, you should have hands-on experience in building or deploying solutions in the cloud, either using Cloud Native services like S3, Lambda, AWS Batch, and ECS, or Cloud Agnostic solutions such as Kubernetes services. Having experience in Continuous Integration and Continuous Deployment (CICD) is crucial, with familiarity in tools like Github Actions or Jenkins. Proficiency in Infrastructure as Code using Terraform is highly desirable. Moreover, you should have expertise in at least one of the following focus areas: 1. Big Data: Experience in building Big Data pipelines or platforms to process petabytes of data using technologies like Kafka, Debezium, Lakehouse (Hudi/Iceberg/Delta Lake), Spark, Glue, and EMR is preferred. 2. Graph Databases: Proficiency in ingesting and consuming data in Graph Databases like Neo4J, JanusGraph, or DGraph would be beneficial. 3. MLOps: Knowledge in infrastructure and operation, including technologies such as Kafka, KNative, KServe, Nvidia Triton, Ray Serve, MLflow, and Sagemaker, is advantageous. Your role as an AI Platform Engineer will involve leveraging your expertise in these areas to contribute to the development and deployment of cutting-edge AI solutions within a dynamic and innovative environment.,

The primary responsibility of this role is to design, develop, and implement cutting-edge image and video generation systems leveraging deep learning models. You will take the lead in exploring and prototyping diffusion, GAN, and transformer-based architectures for generative tasks. Your expertise will be instrumental in optimizing models for quality, speed, and scalability through accelerated compute technologies such as CUDA and TensorRT. Collaboration with cross-functional teams including Product, Design, and Frontend will be essential to seamlessly integrate AI pipelines into production applications and platforms. Additionally, you will play a key role in contributing to system architecture, ensuring reproducibility, versioning, and model evaluation, while also staying updated on the latest advancements in generative AI to facilitate the transition from research and development to production. To excel in this role, you should possess a minimum of 2 years of hands-on experience in the field of AI/ML with a strong emphasis on generative models. Your track record should include practical experience with video generation models like Sora, Gen-2 by Runway, Synthesia, or custom pipelines. A solid background in image generation using Diffusion Models (e.g., Stable Diffusion, DALLE, Imagen) or GANs (e.g., StyleGAN2/3) is essential. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is required, along with experience in training large-scale models using multi-GPU setups like DDP, DeepSpeed, or Hugging Face Accelerate. A sound understanding of computer vision, image processing, and neural rendering techniques is crucial, as well as practical skills in model fine-tuning and related methodologies like LoRA/PEFT, ControlNet, DreamBooth, and others. Preferred tools and frameworks for this role include Stable Diffusion, DALLE, MidJourney, Sora, Gen-2, VQ-GAN, Pix2Pix, CycleGAN, AnimateDiff, ControlNet, T2I-Adapter, VideoCrafter, Pika Labs, ZeroScope, and ModelScope. Proficiency in FastAPI, Flask, or gRPC for model serving and Streamlit, Gradio, or React for rapid prototyping is advantageous. Experience with cloud platforms such as AWS, GCP, or Azure, particularly with GPU instances, and serving models using TorchServe, NVIDIA Triton, or Vertex AI, will be beneficial in ensuring scalable model deployment. This is a full-time position with a flexible schedule and a day shift from Monday to Friday. The ideal candidate will have a minimum of 2 years of experience in machine learning. The work location is in person, and the expected start date is 01/08/2025.,