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
Solid programming in Python
Experience with ML/DL frameworks
PyTorch / TensorFlow
Solid 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 settings

📌 Machine Learning Engineer – Vfx Bengaluru
🏢 Atomic Arts
📍 Bengaluru