Generative AI Engineer
Indiglobe IT Solutions
Full-time
On-site
Telangana, India
Engineering Jobs
We are seeking a highly experienced Senior Generative AI Engineer to join the Virtual Construction Lab. In this role, you will spearhead the development and deployment of state-of-the-art generative AI and computer vision models. You will apply these technologies to areas such as automatic design optimization, predictive material performance, supply chain insights, and manufacturing quality assurance. You will work closely with cross-functional teams, including data scientists, material engineers, software developers, and product managers, to integrate advanced AI solutions that drive efficiency and innovation in façade construction.
Key Responsibilities:
- Model Development & Deployment:
- Design, train, and optimize generative AI and LLM-based models for diverse applications within façade engineering and manufacturing workflows.
- Develop computer vision models for façade component recognition, defect detection, and automated annotation.
- Utilize frameworks like PyTorch or TensorFlow and integrate annotation tools such as CVAT for training pipelines.
- Cloud Architecture & Integration:
- Implement scalable ML pipelines and model hosting on AWS using services such as Amazon S3, EC2, SageMaker, Lambda, and ECS/EKS.
- Ensure deployed models meet performance, validation, and cost requirements.
- Data Management & Experimentation:
- Work with large heterogeneous datasets, including CAD files, images of assembly drawings, and operational manuals, for preprocessing and augmentation.
- Implement MLOps best practices, including CI/CD pipelines, versioning, monitoring, and automated retraining.
- Cross-Functional Collaboration:
- Collaborate with Virtual Construction Lab team members—engineers, architects, and material scientists—to understand project needs and translate them into AI-driven solutions.
- Clearly communicate complex AI concepts and results to non-technical stakeholders, providing actionable insights.
- Research & Innovation:
- Keep pace with the latest advancements in generative AI, LLMs, and computer vision.
- Experiment with cutting-edge models and technologies (e.g., diffusion models, transformer-based architectures, self-supervised learning) to enhance capabilities.
Qualifications & Skills:
- Education & Experience:
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field.
- Minimum 5+ years of professional experience in ML/AI with at least 2+ years focused on generative models, LLMs, or advanced computer vision solutions.
- Technical Expertise:
- Proven track record in training and deploying advanced deep learning models at scale.
- Proficiency with Python and ML frameworks like PyTorch or TensorFlow.
- Solid experience with AWS ML services (SageMaker, ECS, Lambda) and MLOps frameworks.
- Hands-on experience with computer vision annotation tools (e.g., CVAT) and related data engineering workflows.
- Soft Skills:
- Strong analytical, problem-solving, and collaboration skills.
- Ability to communicate effectively with both technical and non-technical stakeholders.