11 Image Generation Jobs

As a Graphic Design Intern at Programming Hub, you will have the opportunity to showcase your creativity and design skills while contributing to our dynamic team. Your primary mission will involve creating visually appealing designs across various media platforms, translating marketing strategies into captivating visual content, and managing multiple projects simultaneously. Responsibilities: - Generate eye-catching designs for social media posts and related media for Programming Hub and associated brands. - Design engaging and compelling thumbnails for various video content. - Collaborate with the marketing team to create creatives for diverse marketing campaigns, ensuring alignment with brand identity and messaging. - Develop visually compelling creatives for in-app offers to enhance user engagement and conversion rates. - Design effective graphics for Google/Apple Ads that resonate with the company's brand and campaign objectives. - Update Store Front creatives for the App Store and Google Play Store, reflecting the app's features and benefits in an engaging manner. - Be prepared to undertake ad-hoc design tasks with flexibility and creativity, maintaining brand consistency across all platforms. - Ensure all graphics and designs adhere to brand guidelines, maintaining a consistent visual identity. Requirements: - Bachelor's or Master's degree in any field. - Proficiency in design principles and tools such as Adobe Photoshop and Illustrator. - Familiarity with Generative AI and image generation tools. - Excellent visual design skills and the ability to work both independently and collaboratively. If you have a passion for design, a keen interest in education, and the ability to transform ideas into visually stunning designs, we invite you to join our team and create something extraordinary together. Please submit your design portfolio and previous work along with your CV for consideration in the next round of the selection process. Applications without these attachments will not be considered. We look forward to seeing your creativity in action! Job Types: Full-time, Permanent, Internship Benefits: - Flexible schedule - Paid time off Schedule: - Day shift Education: - Bachelor's (Required) Work Location: In person,

The opportunity at Presentations.ai involves working on a tool that simplifies the process of creating powerful presentations using cutting-edge AI tools for motion design, illustration, and image generation. Your role will be to explore creative possibilities and enhance the product with joy, surprise, and delight through illustrations, motion, and micro interactions. Collaborating closely with product designers, engineers, and the founding team, you will identify key moments in the user journey to enhance the overall user experience. To excel in this role, you must have a portfolio showcasing at least three real-world digital products or experiences that demonstrate your ability to add joy, clarity, or emotional impact. Experience with the latest AI tools for motion design, illustration, and image generation is essential. If you primarily work on conceptual or illustrative projects without a clear understanding of their impact on the final product, this may not be the right fit for you. If you are passionate about leveraging AI tools for creative production, enjoy guiding, teaching, and rewarding users through motion and visual design, and are excited about creating high-impact moments in the user journey, we encourage you to apply for this opportunity at Presentations.ai.,

As a Fullstack Python Developer specializing in FastAPI, React, and Generative AI, you will play a crucial role in developing scalable web applications, intelligent APIs, and AI-powered user experiences. Your responsibilities will span from backend development using Python and FastAPI to frontend development with React. Additionally, you will integrate Generative AI models to enhance the functionality of the applications you build. Your key responsibilities will include developing and maintaining RESTful APIs with FastAPI, implementing microservices architecture, and integrating GenAI models such as OpenAI, Hugging Face, and Stability AI. On the frontend side, you will work on creating responsive and dynamic user interfaces using React or Next.js, ensuring seamless integration with backend services and GenAI outputs. In terms of Generative AI integration, you will implement features like text summarization, intelligent search, and image generation. You will also work with vector databases like Pinecone and Qdrant, optimizing prompt engineering and model interaction for performance and accuracy. Furthermore, you will be involved in DevOps and Infrastructure tasks, including containerizing applications using Docker and deploying them via Kubernetes or cloud platforms. You will also set up CI/CD pipelines and monitor system performance and reliability. To excel in this role, you should have at least 4 years of experience in fullstack development and a strong proficiency in Python, FastAPI, and ReactJS. Experience with GenAI tools and APIs such as LangChain, Hugging Face, and OpenAI is essential. Familiarity with technologies like Redis, RabbitMQ, Docker, and cloud services (AWS/GCP) is also required. An understanding of RESTful APIs, async processing, and vector search will be beneficial. Additionally, bonus skills include experience with multimodal GenAI (text, image, audio), knowledge of prompt engineering and model fine-tuning, and contributions to open-source AI or fullstack projects.,

The ideal candidate for this role should have a minimum of 3 years of experience working with AI/ML/data-platform products. You should be adept at taking an AI product/platform from the ideation stage to market launch. Proficiency in GenAI is a must-have requirement for this position. Your responsibilities will include designing, developing, and deploying advanced AI models with a specific focus on generative AI. This will involve working with transformer architectures like GPT, BERT, and T5, as well as other deep learning models used for text, image, or multimodal generation. You will be expected to work with extensive and complex datasets, performing tasks such as data cleaning, preprocessing, and transformation to ensure the quality and relevance standards required for generative model training are met. Collaboration with cross-functional teams, including product, engineering, and data science teams, will be essential to identify project objectives and develop generative AI solutions tailored to meet business needs. Your role will also involve implementing, fine-tuning, and scaling generative AI models in production environments to ensure robust model performance and efficient resource utilization. Developing pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production, will be part of your responsibilities. As part of your continuous learning, you will need to stay updated on the latest advancements in generative AI research, techniques, and tools, and apply new findings to enhance model performance, usability, and scalability. Additionally, documenting and communicating technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders will be crucial, with a strong emphasis on explainability and responsible AI practices. Qualifications Required: - Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. A relevant Ph.D. or research experience in generative AI is considered a plus. - Experience: 2 - 11 Years of experience in machine learning, with at least 2 years dedicated to designing and implementing generative AI models or working with transformer-based models. Skills and Experience Required: - Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation - Machine Learning: Algorithms, Deep Learning, Neural Networks - Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow - MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) - Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: - BRING YOUR PASSION AND FUN: Enjoy a corporate culture that values highly diverse perspectives and insights. - BALANCE WORK AND PERSONAL TIME LIKE A BOSS: Benefit from resources and flexibility to seamlessly integrate your work and personal life. - BECOME A CERTIFIED SMARTY PANTS: Avail ongoing training and development opportunities to satisfy your appetite for learning. - START-UP SPIRIT (Good ten plus years, yet we maintain it): Experience the agility and innovation of a start-up environment combined with the stability of an established organization. - FLEXIBLE WORKING HOURS: Embrace a work environment that supports flexibility in working hours to enhance work-life balance.,

Job Description: GoBo Labs is currently looking for talented AI Content Creators to join their Mumbai studio. As an AI Content Creator, your main responsibility will be to use AI platforms for generating high-quality images and videos. You will have the opportunity to work on a variety of brand projects as well as original content produced by GoBo Labs. It is important to note that GoBo Labs is an AI-first creative studio and production house, known for its innovative work in the industry. This is a full-time, on-site role based in Mumbai. The ideal candidate for this position should be proficient in using AI-based image generation platforms such as MidJourney, Ideogram, Stable Diffusion, among others. Additionally, expertise in AI-driven video generation tools like Runway, Kling, Sora, and others is required. Knowledge of COMFYUI would be an added advantage. As an AI Content Creator, you will collaborate closely with the creative team, ensuring that the visuals and videos created align with the project requirements. A strong understanding of visual storytelling, composition, and design principles is essential for this role. Attention to detail and a creative flair are key attributes needed to craft high-quality content. Candidates with prior experience in content creation for advertisements, films, or digital campaigns will be preferred. The ability to work efficiently in a fast-paced environment, meet deadlines, and continuously learn and experiment with emerging AI tools and technologies are also important qualities that GoBo Labs is looking for in potential candidates. To apply for this position, please send your resume, portfolio, and samples of AI-generated content to production@gobolabs.in with the subject line "AI Content Creator Application - [Your Name]." This is a great opportunity to be part of a dynamic team and contribute to exciting projects at GoBo Labs. Join us in shaping the future of AI content creation!,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech goes beyond computer code. As a member of the Dolby team, you'll witness the impact of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally. To achieve this, Dolby seeks the best talent. With ample resources and a conducive environment, Dolby offers challenging projects, a collegial culture, excellent compensation, and benefits, along with a truly flexible Flex Work approach supporting your best work in terms of location, time, and method. Dolby's research division is seeking an AI researcher to contribute to the development of the next generation of AI-based multimodal technologies. As part of Dolby's research efforts, the candidate will collaborate with Dolby's renowned audio and vision experts to innovate new multimedia analysis, processing, and rendering technologies aimed at driving interactive and immersive experiences. Working within an international team, the senior Generative AI Researcher will explore novel horizons in multimodal analysis, processing, and generation. The responsibilities include conducting fundamental research, technology transfer to product groups, drafting patent applications, and publishing papers. The ideal candidate for this role should possess a strong background in deep learning, encompassing both conceptual understanding and practical experience. Staying updated with the latest literature and implementing cutting-edge techniques in generative models, self-supervised learning, and multi-modal learning are key aspects of the position. Experience or knowledge in the following areas would be beneficial: - Generative modeling for audio and video applications. - Multimodal semantic understanding and reasoning. - Multimodal representations including audio and/or video. - Multimodal AI architectures focusing on generating audio and/or video. - AI-driven enhancement, processing, and generation for audio and/or video applications. - Exposure to various audio and video applications. Collaborating closely with Dolby's Machine Perception and Reasoning team, the candidate will join a group of top-tier researchers working on challenging problems in multimodal AI for entertainment applications. The role involves creating and implementing multimodal AI technologies to develop new experiences and prototypes. The candidate will be responsible for prototyping immersive experiences that enhance immersion and interaction, thereby refining the user experience. Key Responsibilities: - Collaborate with domain experts to execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to innovate new solutions and improve existing applications. - Drive the state-of-the-art and develop intellectual property. - Mentor interns on research problems. - Publish papers in top-tier conferences and journals. - Transfer technology to product groups and draft patent applications. - Advise internal leaders on recent advancements in deep learning to influence research direction and business decisions. Requirements: - Ph.D. in computer science or similar field with a focus on deep learning. - Experience in AI applied to audio and/or video. - Technical expertise in generative modeling for audio or video. - Strong publication record in top-tier conferences. - Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch. - Ability to innovate new technologies and translate them into products. - Strong communication skills.,

As a Senior AI/ML Engineer, you will be responsible for designing, developing, and deploying advanced AI models with a focus on generative AI, including transformer architectures such as GPT, BERT, T5, and other deep learning models utilized for text, image, or multimodal generation. You will work with extensive and complex datasets by cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Additionally, you will collaborate with cross-functional teams to identify project objectives and create solutions using generative AI tailored to business needs. Your role will involve implementing, fine-tuning, and scaling generative AI models in production environments to ensure robust model performance and efficient resource utilization. You will also be responsible for developing pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. It is essential to stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Furthermore, documenting and communicating technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders with an emphasis on explainability and responsible AI practices. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. A relevant Ph.D. or research experience in generative AI would be advantageous. You should have 12-16 years of experience in machine learning, with at least 8 years in designing and implementing generative AI models or working specifically with transformer-based models. The ideal candidate will possess expertise in generative AI, transformer models, GANs, VAEs, text generation, and image generation. Strong knowledge of machine learning algorithms, deep learning, neural networks, and programming skills in Python and SQL are required. Familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow, and experience with MLOps tools like Docker, Kubernetes, MLflow, and Cloud Platforms (AWS, GCP, Azure) is essential. Additionally, proficiency in data engineering concepts such as data preprocessing, feature engineering, and data cleaning is preferred. Joining our team will provide you with an opportunity to work on technical challenges with global impact, vast opportunities for self-development through online university access and sponsored certifications, sponsored Tech Talks & Hackathons, and a generous benefits package including health insurance, retirement benefits, flexible work hours, and more. You will work in a supportive environment with forums to explore passions beyond work, offering an exciting opportunity to contribute to cutting-edge solutions while advancing your career in a dynamic and collaborative setting.,

The candidate for this role should have a strong background in machine learning algorithms, deep learning frameworks, and practical experience in building and deploying AI solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. Your responsibilities will include designing, developing, and deploying machine learning and deep learning models for various business applications. Leading and contributing to projects involving Generative AI, collaborating with data scientists, software engineers, and product managers to deliver end-to-end AI solutions, analyzing and preprocessing large datasets, developing predictive models and algorithms, evaluating and optimizing model performance, and staying up to date with the latest advancements in AI/ML and Generative AI research and technologies. You should be a self-directed and proactive professional who takes initiative, adapts quickly to new technologies and changing requirements, and strategically applies knowledge to solve complex business problems. It is essential to stay current with emerging AI trends, drive innovation, maintain a focus on code quality and best practices. To qualify for this role, you will need a Bachelor's degree in computer science, Data Science, Statistics, or a related field. 3-4 years of experience in AI/ML project development with a minimum of 2 years of hands-on experience with Generative AI is required. Proficiency in programming languages such as Python, experience with data manipulation libraries, and a solid grasp of machine learning techniques and algorithms are essential. Hands-on experience with various AI technologies and frameworks, as well as experience developing and deploying ML models via REST APIs, is also necessary. Preferred qualifications include relevant certifications in data science from reputed universities specializing in AI, strong analytical and problem-solving skills, effective verbal and written communication skills, and good presentation skills. At Emerson, a workplace where every employee is valued, respected, and empowered to grow is prioritized. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Career development, inclusive culture, competitive benefits plans, flexible time off options, and employee wellbeing are key priorities at Emerson. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably while improving productivity, energy security, and reliability. The company celebrates diversity, embraces challenges, and offers opportunities for professionals at all stages of their careers to make a difference.,

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. JD -Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay : Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Documentandcommunicatetechnicalspecifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 8-12 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required GenerativeAI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, Tensor Flow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university access and sponsored certifications. Sponsored Tech Talks &Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. Private and Confidential www.fissionlabs.com info@fissionlabs.com Supportive work environment with forums to explore passions beyond work. This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.

Role Overview: As a Motion Graphics Intern, you will assist in creating engaging motion visuals for campaigns, social media, and brand projects. Along with motion design skills, you should have basic knowledge of AI tools to enhance creative output, automate certain processes, and explore innovative ways of storytelling. Key Responsibilities: Assist in designing and animating motion graphics for advertisements, digital campaigns, and social media. Support the creative team in video editing, compositing, and visual effects. Use AI-based tools (e.g., Runway, Midjourney, Adobe Firefly, D-ID, etc.) for creative asset generation and concept development. Research and explore emerging AI technologies to enhance creative workflows. Collaborate with designers, copywriters, and strategists to ensure brand consistency. Maintain organized project files and adhere to deadlines. Requirements: Basic skills in motion graphics software (Adobe After Effects, Premiere Pro, Photoshop, Illustrator). Understanding of AI tools for creative production (image generation, text-to-video, upscaling, etc.). Creative mindset with an eye for detail, typography, and composition. Strong willingness to learn and adapt to new technologies. Ability to work in a fast-paced, collaborative environment. Preferred Skills (Not Mandatory): Knowledge of 3D animation software (Blender, Cinema 4D). Experience with AI video tools or prompt engineering. What Youll Gain: Hands-on experience in a professional advertising agency environment. Exposure to real client projects and AI-integrated creative processes. Guidance and mentorship from experienced creative professionals. Opportunity to build a strong portfolio combining traditional and AI-assisted motion graphics work.