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AI Engineer
AI EngineerConfidential • Mumbai, India
AI Engineer

AI Engineer

Confidential • Mumbai, India
30+ days ago
Job description

AI Engineer — Image‑to‑Video (Mid‑Level)

Location : Mumbai (on‑site / hybrid)

Contract : 6 months, extendable

Start : ASAP

What you'll do

  • Build, fine‑tune, and ship image‑to‑video generation pipelines (prompt‑to‑video, storyboard‑to‑video, identity‑preserving headshots)
  • Integrate and iterate on SOTA components (Stable Video Diffusion, AnimateDiff, LTX‑Video / 13B variants, CogVideo‑X, ControlNet‑style conditioning).
  • Optimize inference for throughput and latency (TorchScript / ONNX, TensorRT, CUDA kernels, xFormers / Flash‑Attention, mixed precision).
  • Handle multi‑GPU training / inference (DDP, gradient checkpointing, sharded weights, efficient sampling).
  • Own dataset curation and augmentation for faces / motion; enforce consent, licensing, and privacy.
  • Build evaluation loops and dashboards (FVD, CLIP / ID‑similarity, temporal consistency, face‑ID retention).
  • Productionize with Docker and CI / CD; wire up tracking (W&B / ClearML) and experiment reproducibility.
  • Collaborate with design and product to convert creative briefs into deployable features and A / B tests.

Must‑have

  • 3–5 years total software / ML experience with 1–2+ years in generative video or diffusion work.
  • Strong Python + PyTorch, Diffusers, and CV fundamentals (spatiotemporal models, sampling).
  • Proven experience with multi‑GPU (DDP / NCCL) and performance profiling on Linux.
  • Solid grasp of FFmpeg, video codecs / bitrates, and post‑processing pipelines.
  • Portfolio : repo(s), demo links, or a short reel showing your image‑to‑video work.
  • Nice‑to‑have

  • Experience with ComfyUI nodes / graphs, LoRA / ControlNet training, face‑ID preservation, or lip‑sync.
  • Triton kernels, custom schedulers / samplers, quantization (INT8 / FP8) for fast inference.
  • MLOps on AWS / GCP / Azure, Kubernetes, vector stores, prompt orchestration.
  • Tools you'll touch

  • PyTorch, Diffusers, CUDA, TensorRT / ONNX, xFormers / Flash‑Attention, FFmpeg, Docker, W&B / ClearML, ComfyUI, GitHub Actions.
  • What we offer

  • Competitive contract compensation (INR, market‑aligned) with extension potential.
  • High‑impact ownership on production creative pipelines.
  • Modern GPU stack and a fast path from prototype → production.
  • How to apply

  • Email [HIDDEN TEXT] with subject 'AI Engineer — Image‑to‑Video (Mumbai)' and include :
  • Resume / CV, links to GitHub and any demos / reels.
  • 3–5 bullet points on your most relevant image→video work.
  • Earliest start date and work authorization status for India.
  • Skills Required

    Pytorch, Docker, Ffmpeg, Python, Cuda

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