Generative AI Engineer (RARR Job 5814)

We are seeking a talented Generative AI Engineer to join our Enterprise AI team. As a Generative AI Engineer, he/she will be responsible for building, optimizing, and deploying AI models capable of generating high-quality, realistic content. He/She will collaborate closely with data scientists, software engineers, and product teams to innovate in the space of natural language processing (NLP), image generation, and other AI-driven creative tools.

Key Responsibilities

1. AI Model Development

• Design, build, and train generative models (e.g., GPT, GANs, VAEs) for text, image, and multimedia generation

• Fine-tune existing pre-trained models to improve performance for specific applications

• Explore and implement novel generative AI architectures and techniques

2. Data Preprocessing and Feature Engineering

• Collect and preprocess large-scale datasets required for training generative models

• Perform data augmentation and transformation techniques to enhance model robustness

3. Model Evaluation and Optimization

• Evaluate model performance using appropriate metrics and fine-tune models for optimal results

• Optimize models for efficiency, scalability, and performance in production environments

4. Collaboration

• Work closely with cross-functional teams including product managers, UX/UI designers, and data engineers to deliver AI-powered products and features

• Partner with the research team to integrate the latest advancements in AI into production models

5. Deployment and Maintenance

• Develop scalable pipelines for deploying models to production

• Continuously monitor and maintain deployed models, ensuring they meet performance and ethical standards

6. Innovation and Research

• Stay up to date with the latest research in AI and machine learning, particularly in generative AI

• Contribute to internal knowledge sharing and represent the company at conferences and workshops

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field (PhD is a plus)

• 3+ years of experience in AI/ML development with a focus on generative models

• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face

• Hands-on experience with large language models (LLMs), GANs, VAEs, or similar technologies

• Strong programming skills in Python and experience with libraries such as NumPy, Pandas, and SciPy

• Experience with cloud platforms (AWS, GCP, Azure) for training and deploying AI models

• Familiarity with prompt engineering, fine-tuning large pre-trained models, and creating scalable pipelines

• Strong problem-solving and analytical skills