Generative AI Specialist

Position Overview

We're seeking a Generative AI Specialist to research and develop advanced generative models including GANs, VAEs, diffusion models, and large language models for creative and data synthesis applications. You'll work on cutting-edge projects spanning text generation, image synthesis, video generation, and multi-modal AI systems.

This role offers the opportunity to build state-of-the-art generative AI applications for clients across entertainment, healthcare, finance, and research sectors. You'll train large-scale models, fine-tune foundation models, and deploy generative AI solutions that push the boundaries of artificial creativity.

Key Responsibilities

• Design, train, and deploy generative AI models (GANs, VAEs, Diffusion Models, Transformers)
• Fine-tune and adapt large language models (GPT, LLaMA, Claude) for specific use cases
• Develop multi-modal generative systems combining text, image, audio, and video generation
• Implement Stable Diffusion, DALL-E, and other image generation models for creative applications
• Build and optimize training pipelines for large-scale generative model training
• Research and implement cutting-edge techniques from recent AI papers (Diffusion Models, ControlNet, LoRA)
• Develop evaluation frameworks to assess generation quality, diversity, and alignment
• Implement guardrails and safety mechanisms for responsible AI deployment
• Optimize model inference for production deployment with latency and cost constraints
• Collaborate with clients to understand requirements and deliver custom generative AI solutions

Required Skills & Qualifications

Technical Skills

Frameworks & Tools

Qualifications

• Master's or PhD in Computer Science, AI/ML, or related field
• 5+ years of experience in machine learning with 2+ years focused on generative AI
• Strong publication record or demonstrated expertise through open-source contributions
• Hands-on experience training and deploying large-scale generative models
• Expert-level proficiency in PyTorch or TensorFlow
• Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron)
• Strong understanding of ML fundamentals, optimization, and probabilistic modeling
• Experience with cloud ML platforms (AWS SageMaker, Google Vertex AI, Azure ML)

What We Offer

• Competitive salary with equity opportunities
• Access to significant GPU compute resources for model training
• Work on cutting-edge generative AI research and applications
• Publication and conference presentation opportunities
• Collaborative environment with leading AI researchers
• Remote-first culture with flexible work arrangements