About the Role
We are looking for a Machine Learning Engineer to build intelligent tools and automation systems for VFX production. This role focuses on applying ML/AI to improve.

You will work closely with VFX artists, pipeline TDs, and production teams to integrate ML solutions into real-world production pipelines.

Key Responsibilities

- Develop and deploy ML models for VFX use cases:

- Object detection, segmentation

- Optical flow, motion tracking, depth estimation

- Image/video enhancement (denoise, upscaling, interpolation)

- Build AI-powered tools for:

- Auto tagging of assets and shots

- Script/metadata extraction (OCR, NLP)

- Smart dailies / QC analysis

- Integrate ML models into pipeline tools (Nuke, Unreal, internal systems)

- Optimize models for real-time or near real-time performance





- Design scalable inference pipelines (batch + interactive)

- Collaborate with pipeline TDs to embed ML into production workflows

- Work with large datasets (EXR sequences, video, metadata)

- Maintain model performance and reliability in production

Required Skills & Qualifications

- Robust programming in Python

- Experience with ML/DL frameworks:

- PyTorch / TensorFlow

- Strong understanding of:

- Computer Vision (CV)

- Deep Learning architectures (CNNs, Transformers)

- Experience with:

- OpenCV, NumPy, Pandas

- Image/video processing pipelines

- Familiarity with:

- EXR workflows, color pipelines (ACES is a plus)

- Knowledge of Linux-based environments

📌 Machine Learning Engineer – VFX (India)
🏢 Atomic Arts
📍 India