116 Diffusion Models Jobs - Page 2

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We're looking for an experienced Sr.Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. As a S...

Role & resp Backend Engineer Generative AI (Infra) Experience Required: 2 5 Years Location: Bangalore (In-office)Brookfeild Employment Type: Full-Time About the Role We are looking for a Backend Engineer with experience in AI-based systems , particularly in building and maintaining Generative AI pipelines and scalable backend infrastructures . The ideal candidate will have a solid background in backend engineering , API design , and AI model integration , with a working understanding of LLMs, diffusion models, and multimodal AI applications . You will be responsible for developing and managing backend systems that power AI services — from model APIs to data retrieval pipelines — ensuring the...

As a Backend Engineer specializing in Generative AI infrastructure, your primary responsibility will be to design and develop scalable backend services to support AI and Generative AI workloads. You will play a crucial role in building and optimizing RESTful and GraphQL APIs for model inference, prompt processing, and data access. Additionally, you will create modular backend components for high-performance, scalable AI operations. Your collaboration with AI engineers for integrating and deploying Generative AI models will be essential, especially in implementing retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, Weaviate, FAISS, or Milvus. Optimizing AI mod...

As a member of the Uber AI Solutions team, you will be part of a Moonshot AI team dedicated to optimizing the gig marketplace through intelligent supply and demand matching. Your role will involve conducting foundational and applied research in the GenAI space, focusing on developing advanced ML models for human-in-the-loop data annotation and automated evaluation systems. By collaborating with cross-functional teams, you will contribute to the growth of Uber AI Solutions as a leader in the field. Key Responsibilities: - Identify and define novel research problems that benefit from advanced ML expertise. - Design and develop innovative ML models and algorithms to address these problems. - Co...

Role Description : Your primary goal will be to identify and analyze potential safety policy violations, such as Hate Speech, Harassment, Sexually Explicit Content, Dangerous and Harmful Acts, and Child Safety concerns. The detailed feedback and insights you provide will be instrumental in training, fine-tuning, and improving the safety guardrails of our models. Key Responsibilities Multi-Modal Content Review: Systematically review and analyze AI-generated content (text, images, audio, video) to detect violations of our safety policies. Policy Application and Annotation: Apply a complex set of safety policies with high accuracy and consistency. Provide detailed labels and annotations that ca...

As a Deep Learning Engineer at our company, your role involves developing and deploying cutting-edge AI solutions for drug discovery and pharmaceutical research. You will be responsible for building deep learning models, developing generative AI systems, and creating agentic AI solutions to address pharmaceutical challenges. Additionally, you will collaborate with chemists and biologists to publish and present your findings. Key Responsibilities: - Build deep learning models for molecular design, drug discovery, and protein analysis - Develop generative AI systems for molecule generation and lead optimization - Create agentic AI solutions to automate scientific workflows - Prototype and depl...

Work Location: India Remote Engagement Model: Part-time (20 hours per week) or full-time employment Engagement Duration: 3 months with possibility of extension Start Date: ASAP DataForce by TransPerfect is seeking a Content Safety Expert to identify and analyze potential safety policy violations, such as Hate Speech, Harassment, Sexually Explicit Content, Dangerous and Harmful Acts, and Child Safety concerns. The detailed feedback and insights you provide will be instrumental in training, fine-tuning, and improving the safety guardrails of our models. Key Responsibilities Multi-Modal Content Review: Systematically review and analyze AI-generated content (text, images, audio, video) to detect...

Job Description KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, whi...

As a Generative AI Architect at Techvantage.ai, you will play a crucial role in designing and building intelligent systems that leverage cutting-edge Generative AI technologies to reshape the future across industries. With over 10 years of experience in technology roles and at least 3 years of expertise in Generative AI solutions, you will lead the development and deployment of AI platforms integrating large language models, multimodal AI, and other advanced GenAI capabilities into real-world applications. Key Responsibilities: - Architect and lead end-to-end solutions using LLMs, diffusion models, transformers, and multimodal AI in enterprise and consumer scenarios. - Design robust and scal...

Job Title: Generative AI Trainer (In-Person) Location: Pune, Maharashtra, India Job Type: Full-time / Part-time / Contract (Specify as applicable) Mode: In-person (On-site at client or training center) Job Overview We are seeking a passionate and experienced Generative AI Trainer to deliver engaging and hands-on training sessions to corporate professionals, academic institutions, or internal teams. The ideal candidate will have in-depth knowledge of AI/ML concepts, hands-on expertise with Generative AI tools and frameworks (such as GPT, Stable Diffusion, etc.), and the ability to simplify complex concepts for learners of varying experience levels. Key Responsibilities Deliver in-person train...

About the Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation and collection with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to conduct foundational and applied research in the GenAI space. This includes advanced ML models to enable human-in-the-loop data annotation with advanced aut...

Generative AI Instructor We are seeking an experienced and passionate Generative AI Instructor to educate and empower aspiring developers, data scientists, and business professionals in the rapidly evolving field of Generative AI (GenAI). The ideal candidate will have 1-3 years of technical experience in Machine Learning (ML) , with significant hands-on experience in developing, training, and deploying generative models. This role is critical in bridging the gap between foundational AI/ML knowledge and practical, real-world Generative AI application development. Roles & Responsibilities Conduct Structured Training: Design and lead comprehensive training programs on the theory, implementation...

As a Principal AI Research Scientist at Siemens Energy, you will lead the research efforts in developing next-generation foundation models for power grid & substation applications. You will play a crucial role in defining the research agenda, driving innovation in algorithms, architectures, and methodologies for scaling AI models, and building and mentoring a world-class team. Your work will have a significant real-world impact on grid modernization, renewable energy acceleration, and climate change mitigation. - Conduct original, high-impact research in foundation models tailored for power grid data - Spearhead the development of novel deep learning architectures and algorithms - Collaborat...

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...

Responsibilities: Develop models for prediction, classification, clustering, and other use cases. Expertise in Python, TensorFlow Strong grasp of math and statistics. Build and optimize neural networks for advanced use cases (e.g., NLP, image recognition, and GenAI). Proficiency in frameworks like TensorFlow, PyTorch Develop models for text processing, chatbots, sentiment analysis, and language generation. Design and implement generative models (GANs, VAEs, diffusion models, LLMs). Fine-tune pre-trained models like GPT, PaLM, or Stable Diffusion for specific use cases. Experiment with architectures to optimize generation quality and performance. Collect and preprocess datasets for training g...

**Role Overview:** As a Deep Learning Engineer, you will utilize cutting-edge DL techniques to develop advanced algorithms for neural rendering using Python and popular deep learning frameworks. You will work closely with a team of passionate researchers and developers to tackle complex challenges in deep learning, such as multi-modal image synthesis, audiovisual data fusion, and image/video transformation. Your primary responsibility will be to improve product performance to ensure high levels of accuracy, speed, and scalability, under the guidance of senior team members. Additionally, you will be integrating developed software, algorithms, and AI models into products and services, in colla...

You are being sought after by Evonence to take on the role of Generative AI Practice Head. In this position, you will be responsible for overseeing the entire AI solution development process, ranging from architecture design and model training to the ethical deployment of the solutions. Your role will involve a combination of research, engineering, and leadership tasks, making it an excellent fit for individuals with a strong academic background and hands-on experience in implementing AI systems at scale. **Key Responsibilities:** - Lead and innovate AI projects focused on generative models. - Stay abreast of the latest advancements in AI by evaluating and incorporating cutting-edge trends f...

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...

Role: Lead Generative AI Engineer Experience: 8+ years Location: Gurgaon / Pune Mode of work :WFO Must have Gen AI experience -3Y Agentic Ai experience -1Y Must have team leading exp Role Overview We are looking for a Senior Gen AI Engineer with proven experience in building and deploying Generative AI and scaled ML systems . This role demands end-to-end ownership of AI solutions from model selection, fine-tuning, and pipeline design to deployment on cloud ML platforms (AWS SageMaker) . The ideal candidate will be capable of architecting multi-agent frameworks and MCP pipelines , integrating them into enterprise systems, and delivering scalable, production-grade AI solutions. Along with stro...

As an ML Engineer at HolboxAI, you will be responsible for designing, developing, and implementing Machine Learning models, including Deep Learning and Natural Language Processing. Key Responsibilities: - Working with large datasets to perform data cleaning, preprocessing, feature engineering, and analysis. - Developing and deploying AI/ML models on Cloud platforms. - Experimenting with and implementing Generative AI models and techniques for various applications. - Contributing to the development of Agentic AI systems and workflows. - Evaluating the performance of AI/ML models and identifying areas for improvement. - Collaborating with Data Engineers to build and maintain data pipelines for...

Role Overview: You will be responsible for the following tasks in this role: - Designing, developing, and deploying Generative AI models using state-of-the-art architectures such as Transformers, Diffusion models. - Building and fine-tuning LLM-powered agents capable of multi-step reasoning, task planning, and tool use. - Working with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI, or similar agent orchestration tools. - Integrating models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems. - Optimizing inference pipelines for performance, latency, and scalability. - Collaborating with product managers and data scientists to prototype and productioniz...

As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge models for end-to-end content generation, including AI-driven image/video generation, lip syncing, and multimodal AI systems. You will work on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated content. - **Research and Develop**: - Design and implement state-of-the-art generative models, including Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. - **End-to-End Content Generation**: - Build and optimize AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencod...

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. ...

Job Description Wealth Management (WM) Investment Risk & Analytics (IR&A) is responsible for the risk oversight of the Managed Strategies from end to end across the WM's Private Bank and Consumer Bank businesses. Managed Strategies included JPMorgan's own proprietary products and third-party funds to include registered funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately managed accounts, hedge funds, and private equity and real estate funds, etc. We are looking for individuals who can partner with senior members of our team to oversee business activities, models and methodologies related to investment risk. with an emphasis on developing new tools and methodologies ...

Maximize Your Impact with TP Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable 10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions. As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow. The Opportunity TP.ai Data Services partners with the world's leading technology companies to design, build, and scale trustworthy AI s...