4 Synthetic Data Jobs

We are hiring a Delphix Engineer with 3–12 years of experience for a 12-month full-time onsite role across Bengaluru, Chennai, Hyderabad, Pune, and Vadodara. The candidate must have strong hands-on experience with Test Data Management (TDM), particularly Delphix, along with data de-identification, masking, and synthetic data generation. The ideal engineer will work closely with consumers to enable fast, secure test data provisioning. Exposure to Python or .NET is a plus, as is knowledge of CI/CD pipelines and cloud-hosted platforms. Must be a proactive contributor and effective collaborator, comfortable in dynamic environments. Location - Bengaluru, Chennai, Hyderabad, Pune, Vadodara (Onsite)

As an Emerging Tech Specialist at our Applied Research center, you will focus on applying scientific and technical research to solve practical problems and develop new products or processes within a specific industry or field. Your responsibilities will include conducting research, analyzing data, and developing solutions that can be implemented in real-world settings. You will define the research agenda and collaborate with academia and partners to conduct applied research. Additionally, you will be responsible for building tech playbooks that can be utilized by product and implementation teams. Your key responsibilities will involve researching emerging tech trends, the ecosystem of players, use cases, and their impact on client businesses. This will include scanning and curating startups, universities, and tech partnerships to create an innovation ecosystem. You will rapidly design and develop Proof of Concepts (PoCs) in emerging tech areas, sharing design specifications with team members, integrating, and testing components. Furthermore, you will contribute to thought leadership by developing showcases that demonstrate the application of emerging technologies in a business context. As part of the Applied Research Center activities, you will contribute to the design, development, testing, and implementation of proof of concepts in emerging tech areas. You will also be involved in problem definition and requirements analysis, developing reusable components, and ensuring compliance with coding standards and secure coding guidelines. Your role will also include innovation consulting, where you will understand client requirements and implement solutions using emerging tech expertise. Additionally, you will be responsible for talent management, mentoring the team to acquire identified emerging tech skills, and participating in demo sessions and hackathons. You will work with startups to provide innovative solutions to client problems and enhance our offerings. In terms of technical requirements, you should have expertise in various emerging areas such as Advanced AI, New Interaction Models, Platforms and Protocols, Cybersecurity, Quantum, Autonomous Machines, and Emerging Research areas like Brain AGI and Space Semicon. You will also need advanced theoretical knowledge, experimental design expertise, data analysis skills, prototype development capabilities, and research tool proficiency. Preferred skills include experience in User Experience Design, Artificial Intelligence, Cybersecurity Competency Management, Machine Learning, Robotics Algorithms, and X Reality (XR) technologies. Soft skills like a collaborative mindset, communication skills, problem-solving approach, intellectual curiosity, and commercial awareness will be beneficial for this role.,

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