
Generative AI Engineer
3 weeks ago
Key Responsibilities :
- Design, develop, and deploy generative AI models and systems that solve complex business problems.
- Research and implement state-of-the-art algorithms in natural language generation, image synthesis, or other generative AI domains.
- Collaborate closely with data scientists, ML engineers, and product teams to integrate generative AI capabilities into applications and platforms.
- Optimize model performance, scalability, and robustness for production environments.
- Experiment with novel architectures, fine-tuning methods, and data augmentation techniques to improve model outputs.
- Ensure compliance with ethical AI practices and data privacy standards.
- Stay up-to-date with the latest advancements in generative AI research and industry trends.
Required Qualifications & Skills :
- Minimum 7 years of experience in AI/ML engineering, with a focus on generative models.
- Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or JAX.
- Hands-on experience with transformer architectures (e.g., GPT, BERT) and generative model types (GANs, VAEs, diffusion models).
- Expertise in data preprocessing, model training, hyperparameter tuning, and deployment of ML models.
- Solid understanding of NLP, computer vision, or multimodal AI techniques.
- Experience with cloud platforms (AWS, GCP, Azure) for model training and serving.
- Strong problem-solving abilities and research mindset.
Preferred Qualifications :
- Advanced degree (Masters or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- Contributions to open-source AI projects or published research papers in generative AI.
- Knowledge of AI ethics, bias mitigation, and responsible AI development
(ref:hirist.tech)-
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