Software Engineering & System Integration
- Write clean, modular, production-ready code for inference pipelines and AI systems.
- Develop andmaintaininterfaces and user-facing components for AI tools and services.
- Collaborate with backend and platform teams to integrate models into scalable systems.
- Contribute to CI/CD pipelines, code reviews, testing strategies, and performance monitoring.
Deep Learning & AI Model Development
- Design, train, and evaluate deep learning models for CV and NLP use cases.
- Develop end-to-end solutions for: Computer Vision tasks (object detection, segmentation, OCR, activity recognition).
- Language-related tasks (document parsing, question answering, summarization, RAG pipelines, Building LLM Agents to solve tasks).
- Optimize model performance using benchmarking and validation against real-world datasets.
Data Management & Curation
- Plan, collect, and preprocess data across modalities (images, video, text).
- Coordinate with internal teams and vendors for annotation and validation tasks.
- Define data versioning, quality control, and reproducibility standards.
Research & Innovation
- Keep up with the latest in deep learning, computer vision, and LLM advancements.
- Prototype and evaluate new architectures (e.g.,ViTs, SAM, LVMs, LLMs likeLLaMA, GPT, Mistral).
- Publish internal documentation and contribute to tech blogs or open-source codebases whereappropriate.
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