We are looking for a skilled and results-driven ASO Executive with 2+ years of experience to manage App Store Optimization for our mobile apps and games. The candidate will be responsible for improving downloads, rankings, and ratings across both the App Store and Play Store. Key Responsibilities: - Optimize app titles, descriptions, keywords, and screenshots for App Store & Play Store. - Conduct keyword research, competitor analysis, and market trends evaluation. - Monitor and improve app/games rankings, downloads, and user ratings. - Provide insights, recommendations, and strategies for performance improvement. - Content writing for app/game descriptions and promotional material. - Create and manage blogs, web pages, and social media content for apps/games. - Share promotional plans aligned with current market trends for mobile games. - Coordinate with the design team for store assets. Requirements: - 2+ years of ASO experience. - Strong knowledge of Google Play and Apple App Store optimization. - Proficient with ASO tools like AppTweak, Sensor Tower, Mobile Action, etc. - Experience in app marketing, content creation, and social media promotion. - Knowledge of gaming trends is a plus. Location: Surat, Gujarat (On-site) Employment Type: Full-time Show more Show less

Job Description - Conduct agile project planing and management - Manage CI/CD pipelines - Applying hands-on knowledge of testing automation - Hands on experience on Server setup and configuration with firewall and cloud flare - Manage code environment like development, staging and production - Guide teams in designing, building, testing and deploying changes to existing software - Build tools to reduce occurrences of errors and improve client experience - Enhance the company’s IT infrastructure security protocols - Identify manual processes that can be automated - Develop software to integrate with internal back-end systems - Maintain and improve the company’s cloud infrastructure - Experience in managing custom or on-premise servers Job Type: Full-time Pay: Up to ₹600,000.00 per year Schedule: Day shift Application Question(s): How many years of experience do you have in managing on-premise servers? Location: Surat, Gujarat (Required) Work Location: In person Expected Start Date: 14/07/2025

Job Description - Conduct agile project planing and management - Manage CI/CD pipelines - Applying hands-on knowledge of testing automation - Hands on experience on Server setup and configuration with firewall and cloud flare - Manage code environment like development, staging and production - Guide teams in designing, building, testing and deploying changes to existing software - Build tools to reduce occurrences of errors and improve client experience - Enhance the company’s IT infrastructure security protocols - Identify manual processes that can be automated - Develop software to integrate with internal back-end systems - Maintain and improve the company’s cloud infrastructure - Experience in managing custom or on-premise servers Job Type: Full-time Pay: Up to ₹600,000.00 per year Schedule: Day shift Application Question(s): How many years of experience do you have in managing on-premise servers? Location: Surat, Gujarat (Required) Work Location: In person Expected Start Date: 14/07/2025

Job Description - Conduct agile project planing and management - Manage CI/CD pipelines - Applying hands-on knowledge of testing automation - Hands on experience on Server setup and configuration with firewall and cloud flare - Manage code environment like development, staging and production - Guide teams in designing, building, testing and deploying changes to existing software - Build tools to reduce occurrences of errors and improve client experience - Enhance the company’s IT infrastructure security protocols - Identify manual processes that can be automated - Develop software to integrate with internal back-end systems - Maintain and improve the company’s cloud infrastructure - Experience in managing custom or on-premise servers Job Type: Full-time Pay: Up to ₹600,000.00 per year Schedule: Day shift Application Question(s): How many years of experience do you have in managing on-premise servers? Location: Surat, Gujarat (Required) Work Location: In person Speak with the employer +91 7383173055 Expected Start Date: 14/07/2025

Key Responsibilities : Design, develop, and deploy advanced image and video generation systems using deep learning models. Lead research and prototyping of diffusion , GAN , and transformer-based architectures for generative tasks. Optimize models for quality, speed, and scalability using accelerated compute (CUDA, TensorRT, etc.) . Work with cross-functional teams (Product, Design, Frontend) to integrate AI pipelines into production apps or platforms. Contribute to system architecture and ensure reproducibility, versioning, and evaluation of models. Evaluate new advancements in generative AI and drive R&D to production transition. Required Qualifications : 2+ years of hands-on experience in AI/ML with a strong focus on generative models. Proven experience working with video generation models (e.g., Sora, Gen-2 by Runway, Synthesia, or custom pipelines). Strong background in image generation using Diffusion Models (Stable Diffusion, DALL·E, Imagen) or GANs (StyleGAN2/3). Proficient in Python and deep learning libraries: PyTorch, TensorFlow, or JAX. Experience with training large-scale models using multi-GPU setups (e.g., DDP, DeepSpeed, or Hugging Face Accelerate). Solid knowledge of computer vision, image processing, and neural rendering techniques. Hands-on with model fine-tuning, LoRA/PEFT, ControlNet, DreamBooth, etc. Preferred Tools & Frameworks : Stable Diffusion, DALL·E, MidJourney, Sora, Gen-2, VQ-GAN, Pix2Pix, CycleGAN, AnimateDiff ControlNet, T2I-Adapter, VideoCrafter, Pika Labs, ZeroScope, ModelScope FastAPI, Flask, or gRPC for serving models Streamlit, Gradio, or React (frontend) for rapid prototyping AWS / GCP / Azure, especially with GPU instances TorchServe, NVIDIA Triton, or Vertex AI for scalable model serving Job Type: Full-time Pay: Up to ₹800,000.00 per year Benefits: Flexible schedule Schedule: Day shift Monday to Friday Experience: Machine learning: 2 years (Required) Work Location: In person Expected Start Date: 01/08/2025

- Conduct agile project planing and management - Manage CI/CD pipelines - Applying hands-on knowledge of testing automation - Hands on experience on Server setup and configuration with firewall and cloud flare - Manage code environment like development, staging and production - Guide teams in designing, building, testing and deploying changes to existing software - Build tools to reduce occurrences of errors and improve client experience - Enhance the company’s IT infrastructure security protocols - Identify manual processes that can be automated - Develop software to integrate with internal back-end systems - Consider the organization’s entire IT infrastructure when making changes and improvements - Maintain and improve the company’s cloud infrastructure Location : Surat, Gujarat. (On-site) Experience : More than 2 years in managing on-premise servers

Key Responsibilities : Design, develop, and deploy advanced image and video generation systems using deep learning models. Lead research and prototyping of diffusion , GAN , and transformer-based architectures for generative tasks. Optimize models for quality, speed, and scalability using accelerated compute (CUDA, TensorRT, etc.) . Work with cross-functional teams (Product, Design, Frontend) to integrate AI pipelines into production apps or platforms. Contribute to system architecture and ensure reproducibility, versioning, and evaluation of models. Evaluate new advancements in generative AI and drive R&D to production transition. Required Qualifications : 2+ years of hands-on experience in AI/ML with a strong focus on generative models. Proven experience working with video generation models (e.g., Sora, Gen-2 by Runway, Synthesia, or custom pipelines). Strong background in image generation using Diffusion Models (Stable Diffusion, DALL·E, Imagen) or GANs (StyleGAN2/3). Proficient in Python and deep learning libraries: PyTorch, TensorFlow, or JAX. Experience with training large-scale models using multi-GPU setups (e.g., DDP, DeepSpeed, or Hugging Face Accelerate). Solid knowledge of computer vision, image processing, and neural rendering techniques. Hands-on with model fine-tuning, LoRA/PEFT, ControlNet, DreamBooth, etc. Preferred Tools & Frameworks : Stable Diffusion, DALL·E, MidJourney, Sora, Gen-2, VQ-GAN, Pix2Pix, CycleGAN, AnimateDiff ControlNet, T2I-Adapter, VideoCrafter, Pika Labs, ZeroScope, ModelScope FastAPI, Flask, or gRPC for serving models Streamlit, Gradio, or React (frontend) for rapid prototyping AWS / GCP / Azure, especially with GPU instances TorchServe, NVIDIA Triton, or Vertex AI for scalable model serving

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.,