Applied Research Engineer, AI (EPC & Manufacturing)

Job Title: Applied Research Engineer, AI (EPC & Manufacturing) Location : Chennai, Tamil Nadu (Hybrid) We need PHD Candidates only Senior Level 15- 20yrs Junior Level 5 10yrs Working days : 6 days Working location: Chennai Joining Frame: Immediate / 30 days Job Summary: As an Applied Research Engineer in AI, you'll pioneer advancements in spatial intelligence, world models, and generative design to solve EPC and manufacturing challenges. You'll translate cutting-edge AI concepts into scalable prototypes and production systems, focusing on real-world applications like advanced perception and navigation in physical site environments, predictive simulations, automated facility design, and adaptive manufacturing processes. Key Responsibilities: * Develop and refine spatial intelligence models for 3D environment understanding, enabling AI driven site planning and project progress tracking, asset optimization, safety or quality monitoring, and collision-free layouts in EPC projects. * Build and iterate on world models that simulate dynamic manufacturing scenarios, incorporating physics-based reasoning, multi-agent interactions, and uncertainty quantification for predictive maintenance and supply chain resilience. * Advance generative design AI systems to automate iterative engineering outputs, such as topology optimization for structural components or customized factory floorplans, integrating CAD/PLM tools. * Prototype AI solutions for real-world EPC/manufacturing use cases, including digital twins, generative CAD workflows, and spatial reasoning for robotics/automation. * Collaborate with cross-functional teams (engineers, data scientists, domain experts) to deploy models on edge/cloud platforms, ensuring scalability, robustness, and compliance with industry standards (e.g., ISO, BIM). * Conduct applied research, on AI advancements in spatial-gen AI for EPC and heavy industry. * Evaluate emerging tech like agentic AI, quantum-safe simulations, and multimodal foundation models for domain-specific enhancements. Required Qualifications: * Master's or PhD in Computer Science, AI/ML, Robotics, or related field (or equivalent experience). * 5-10+ years in applied AI research, in a corporate set up, with hands-on expertise in recent technology advancements in areas like spatial intelligence (e.g., NeRF, Gaussian Splatting, Point Clouds), vision-language & world models, (e.g., Genie, Sora-like video models, physics simulators), and generative design (e.g., CNNs, diffusion models, GANs for 3D). * Proficiency in PyTorch/TensorFlow, 3D libraries (e.g., Open3D, Blender), simulation frameworks (e.g., MuJoCo, Isaac Sim), and deployment tools (e.g., AWS SageMaker, NVIDIA NIM). * Strong domain knowledge in EPC/manufacturing: BIM, CAD/PLM (e.g., AutoCAD, SolidWorks), process automation, or digital twins. * Experience with real-world AI deployment, including MLOps, edge computing, and handling noisy site or industrial data (e.g., LiDAR, drone imagery). Preferred Skills: * Background in agentic AI, multimodal models, or quantum computing applications for optimization. * Publications or contributions in spatial AI, generative design (e.g., NeurIPS, ICML, CVPR). * Familiarity with both open source and enterprise cloud & AI tools for document processing and document intelligence.