Description

You will build and own end-to-end AI features, moving them from concept through to production.

This role is on-site.

Responsibilities

• Build and own AI-backed features end-to-end, including layout logic, smart cropping, visual enhancement, and GenAI workflows.
• Design scalable APIs that wrap vision models into batch and real-time pipelines.
• Write production-grade Python code to manipulate and transform image data using libraries like NumPy, OpenCV, and PyTorch.
• Handle pixel-level transformations, color space conversions, and geometric warps with speed.
• Integrate models into production web applications on AWS, optimizing for latency and throughput.

Required Skills

• 2+ years of hands-on experience with vision and image generation models (e.g., YOLO, Grounding DINO, SAM, Stable Diffusion).
• 1-2 years working with LLM APIs (OpenAI, Anthropic, Gemini) and composing multi-modal pipelines.
• Production model integration experience using FastAPI and Docker containerization on AWS infrastructure.
• Proficiency in Python, PyTorch, NumPy, OpenCV, and Stable Diffusion.
• Experience with Object Detection and image processing tasks.

Preferred Skills

• Experience defining success criteria for vague problems and delivering technical solutions.

Key Skills

Education

Any Graduate