2 Synthetic Data Jobs

Job Summary: We are seeking a passionate and technically skilled AI / ML Engineer with 2+ years of hands-on experience in Computer Vision and Generative AI (GenAI). This role involves building and optimizing advanced visual intelligence systems leveraging PyTorch, OpenCV, transformers, and diffusion models. The ideal candidate will have experience in areas such as image segmentation, pose estimation, video inpainting, and synthetic data generation, along with exposure to LLM-prompt integration and datasets like DeepFashion2 and COCO. Key Responsibilities: Develop and deploy advanced computer vision models for tasks such as image segmentation, pose estimation, and video manipulation. Implement and experiment with Generative AI techniques, including diffusion models, GANs, and video inpainting. Leverage PyTorch, OpenCV, and modern deep learning frameworks to build scalable vision pipelines. Integrate LLM-based prompting into visual workflows and multimodal applications. Utilize datasets such as DeepFashion2, COCO, and custom synthetic datasets for model training and validation. Optimize model inference for performance, latency, and resource efficiency in production environments. Collaborate with data scientists, product engineers, and designers to deliver intelligent visual features in end-user applications. Qualifications: 2+ years of experience in machine learning and computer vision. Proficiency with PyTorch, OpenCV, and relevant deep learning libraries. Hands-on experience with image segmentation, pose estimation, or video-based vision tasks. Understanding of diffusion models, GANs, and transformer-based architectres. Knowledge of LLM prompt engineering and multimodal integration. Experience working with structured datasets like COCO and DeepFashion2. Strong debugging, analytical, and performance optimization skills. Preferred Qualifications : Experience in synthetic data generation and domain-specific data augmentation. Familiarity with model quantization, pruning, or other inference optimization techniques. Exposure to MLOps tools and cloud-based model deployment (e.g., AWS Sagemaker, GCP AI Platform). Contributions to open-source projects or published research in computer vision or generative models. Location: Pan- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Responsibilities 1. Emerging Tech Trends Research - Research on emerging tech trends, ecosystem of players, use cases and their applicability and impact to client businesses. Scan & curate startups, universities and tech partnerships needed and create innovation ecosystem. Rapidly design and develop PoCs in Emerging tech areas. Share design specifications with other team members, get the components developed, integrate and test. Build reusable components and develop PoCs using relevant startups and Open-source solutions. 2. Thought Leadership - Develop showcases that demonstrate how emerging technologies can be applied in a business context, demo scenarios for the IP. Contribute towards patents, tier-1 publications, whitepapers, blogs in the relevant emerging tech area Get certified on the emerging technology, frameworks 3. Applied Research Center Activities - Contribute to high level design development, testing and implementation of new proof of concepts in emerging tech areas. 4. Problem Definition, Requirements - Understand technical requirements and define detailed design. Analyze the reusable components to map the given requirement to existing implementation and identify needs for enhancements 5. IP Development - Develop program level design, modular components to implement the proposed design. Design and develop reusable components. Ensure compliance with coding standards, secure coding, KM guidelines while developing the IP 6. Innovation Consulting - Understand client requirements and implement first of kind solutions using emerging tech expertise. Customize and extend IP for client specific features 7. Talent Management - Mentor the team and help them acquire the identified emerging tech skill. Participate in demo sessions, hackathons8. Emerging Tech Startup Ecosystem Work with startups in providing innovative solutions to client problems and augmenting Infosys offerings Technical and Professional Requirements: Applied Research Center [Emerging Areas]Advanced AI [SLM, Inference Scaling, Synthetic Data, Distributed Learning, Agentic AI, ANI]New Interaction Models [Spatial computing, Mixed Reality, 3D visualizations, New Experiences]Platforms and Protocols [Architecting and engineering for Performance, Uptime, Low-latency, Scalability, Efficiency, Data, Interoperability and Low cost, Beckn, CDPI]Cybersecurity [Ethical hacking, Threat Mgmt, Supply chain security & risk, Cyber Resilience]Quantum [Quantum AI, Stack, Simulation & Optimization, Cryptography, Valued use cases]Autonomous Machines [Humanoids, Industrial Robots, Drones, Smart Products]Emerging Research [Brain, AGI, Space, Semicon ] Preferred Skills: Domain->User Experience Design->Usability Principles->HCI Foundational->Learning Experience Design->Learning design Management->IP Management Technology->X Reality (XR)->Augmented Reality Technology->X Reality (XR)->Virtual Reality Technology->Blockchain->Blockchain as a Service (BaaS)->AWS Blockchain Technology->Robotic Process Automation->Intelligent Process Automation Foundational->Cybersecurity Competency Management->Cyber Competency Strategy Planning Foundational ->Data privacy->Privacy by design Technology->Machine Learning->Generative AI Additional Responsibilities: Technical Competencies Advanced theoretical knowledge in specific domain Experimental design and methodology expertise Data analysis and interpretation skills Prototype development capabilities Research tool proficiency relevant to domainSoft Skills and Attributes Collaborative mindset for cross-disciplinary research Communication skills for knowledge dissemination Creative problem-solving approach Intellectual curiosity and innovation focus Commercial awareness for translational research Educational Requirements PhD of Computer Science,Bachelor of Engineering Service Line Global Delivery * Location of posting is subject to business requirements