Research Engineer-I

Ovii's Interpretation of the Role

The Research Engineer‑I will join Attentive AI’s AI research team to build computer‑vision and multimodal models that extract information from construction drawings and documents. The role spans the full AI lifecycle—from prototyping and experimentation to production‑ready deployment—using Python and modern deep‑learning frameworks.

Role Snapshot

• AI research on construction document data
• Computer vision and deep‑learning model development
• Multimodal vision‑language integration
• Prototype to production ML pipelines
• Cross‑functional collaboration
• Python & PyTorch/TensorFlow/HuggingFace coding
• Model optimization (quantization, pruning, distillation)
• Fast‑paced startup environment

Must-Have Requirements

• Computer Vision
• Deep Learning
• Python
• PyTorch
• TensorFlow
• HuggingFace Transformers
• OpenCV
• Model optimization techniques
• applied AI/ML research
• computer vision
• deep learning

Nice-to-Have Signals

• SVG graphics familiarity
• NLP / LLM familiarity
• Git version control
• JIRA project tracking
• Cloud platforms (GCP, AWS, Azure)
• Docker
• Kubernetes
• SVG graphics handling
• NLP / LLM exposure
• model optimization

Work Setup

• Location: Noida, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Research and develop computer‑vision and image‑processing solutions for construction drawings and PDFs
• Build and fine‑tune multimodal models that combine visual features with language/LLM components
• Apply unsupervised learning methods such as clustering and representation learning to extract visual features
• Optimize models for production using quantization, pruning, and knowledge distillation
• Write clean, scalable Python code and integrate models with PyTorch, TensorFlow or HuggingFace pipelines
• Track experiments, validate models, and ensure reproducibility following data‑centric ML best practices
• Collaborate with software engineers, product managers and other researchers to ship AI features to customers
• Stay current with state‑of‑the‑art computer‑vision research and assess its relevance to construction industry challenges

Good Fit If You Have

• Experience with SVG graphics or similar vector formats
• Familiarity with NLP or large‑language‑model architectures
• Comfort working in a fast‑paced, startup‑like environment
• Strong analytical and problem‑solving abilities
• Excellent communication and teamwork skills