Experience
: 3.00 + years
Salary
: Confidential (based on experience)
Shift
: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type
: Office ()
Placement Type
: Full time Permanent Position
(*Note: This is a requirement for one of Uplers' client - al)What do you need for this opportunity?Must have skills required:Python, PyTorch, Generative ai model training, fine-tuning, Deployment, GPU Optimizational is Looking for:
Trinetra AI is an India-built generative AI platform for filmmaking, video and image generation, dubbing, voice cloning, music and creative media workflows. We are hiring builders for our 0-to-1 and 1-to-100 journey, with strong ownership, curiosity and hands-on execution.
Role Summary
Build, fine-tune, evaluate and deploy multimodal generative AI models for creative media.
Key Responsibilities
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Develop text-to-image, image-to-video, text-to-video, speech synthesis and audio generation capabilities.
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Train and adapt models using LoRA, PEFT, diffusion and transformer architectures.
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Build dataset preparation, evaluation and reproducible experimentation pipelines.
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Optimize inference latency, VRAM, throughput, GPU utilization and serving cost.
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Own model deployment, observability, troubleshooting and production quality.
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Collaborate with product and creative teams to deliver usable model capabilities.
Must-Have Qualifications
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Hands-on development, fine-tuning or production deployment of audio, image or video generation models — not API-only usage. Must be able to name the specific model, dataset, training method and outcome.
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Direct GPU-based model engineering: experience with GPU training or inference optimization (VRAM, throughput, latency or serving cost) with concrete before/after metrics.
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Python, PyTorch and Hugging Face proficiency with understanding of generative model architectures.
Preferred Qualifications
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Diffusers, FLUX, Stable Diffusion, SDXL, Wan, HunyuanVideo, CogVideoX, LTX-Video.
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TTS, voice cloning, Whisper, F5-TTS, XTTS, VITS, lip-sync, Wav2Lip, MuseTalk.
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CUDA, TensorRT, ONNX, DeepSpeed, FSDP, Docker, Kubernetes, MLflow, W&B.
What We're Looking For
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Demonstrated end-to-end ownership of shipped or demonstrable models — GitHub, demo, paper or deployed output required.
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Startup adaptability and willingness to execute hands-on in a fast-paced, ambiguous environment.
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Ability to explain individual contributions clearly with measurable outcomes.
Work Conditions
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Full-time, 100% on-site at Delhi/NCR.
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Immediate or early joining strongly preferred (0–14 days).
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Resignation copy required within 2–3 days of offer acceptance.
How to apply for this opportunity?
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Step 1: Click On Apply! And Register or Login on our portal.
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Step 2: Complete the Screening Form & Upload updated Resume
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Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
