Lead AI Engineer
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Role - Lead AI Engineer
Location - Bangalore (onsite)
About the Role
As a core member of the AI Research team you'll turn cutting-edge, vision-language and diffusion advances into robust real-time systems that see reason and act on dynamic construction sites.
Key Responsibilities
-Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis and domain adaptation.
-Architect and train Vision-Language Models (VLMs) and Vision-Language Action Models (VLA) objectives that connect textual work orders, CAD plans and sensor data to pixel-level understanding.
-Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort.
-Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2.
-Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation and production hand-off to perception & controls teams.
-Publish internal tech reports and external conference papers; mentor interns and junior engineers.
Requirements
Qualifications & Skills
-8+ years in deep-learning R&D or Ph.D./M.S. in CS, EE, Robotics or related field with strong publication record.
-Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet) and multimodal transformers / VLMs (CLIP, BLIP-2, LLaVA, Flamingo).
-Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision.
-Advanced proficiency in Python, PyTorch (or JAX), experiment tracking and scalable training (PyTorch Lightning, DeepSpeed, Ray).
-Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning.
-Strong mathematical foundation (probability, information theory, optimization) and ability to translate theory into production code.
-Bonus: experience with synthetic data generation in Isaac Sim or robotics perception stacks (ROS2, Nav2, MoveIt 2, Open3D).
Job ID: 150847805
Skills:
Machine Learning, Natural Language Processing, Deep Learning, Tensorflow, Autoencoders, Pytorch, Python, Computer Vision, Generative AI, Fine-tuning mechanisms, Adapter training, Multi-task learning, Generative modeling techniques, Bayesian Multi-fidelity Optimization techniques, Hyperparameter Optimization, Transformer architectures, diffusion
Skills:
Python, agentic workflows, LLM powered applications, AI assisted development tools, AI driven services, API based integration development, AI enabled systems
Skills:
Sql, MLops, Gcp, Azure, Python, AWS, data pipelines, AI system design, LLMs, Cloud platforms, end-to-end AI solution development, CI-CD practices, RAG
Skills:
snowflake , Sql, Amazon CloudWatch, AWS, Python, Docker, Git, LangSmith, API frameworks, Langfuse, MLflow, LLM systems, Snowpark, Snowflake Cortex, OpenTelemetry, Amazon Bedrock, AgentCore, LangChain, LangGraph
Skills:
data engineering , snowflake , Apis, Power Bi, Rpa, change management, Informatica, Data Quality, Azure Data Factory, Python, platform reliability engineering, ETL ELT technologies, AI GenAI tools, incident problem management, CI CD, Looker, Rca, DataOps, metadata lineage, Fivetran, observability, Governance
