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# GenAI Engineer

- **Company:** Alfvo, LLC
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Programming, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Pytorch, Large Language Models, Deep Learning, Generative AI, Information Technology, Variational Autoencoders
- **Published:** June 15, 2026
- **Apply:** https://www.dice.com/job-detail/92ca0f48-7f2b-4c33-bf83-2f32b8950e59

## About the Role

* Bachelor s or Master s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. PhD preferred.
 * Proven experience in developing and deploying generative AI models.
 * Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
 * Familiarity with NLP, CV, or multimodal generative models.
 * Knowledge of cloud platforms and tools for large-scale model training and deployment.
 * Strong analytical and problem-solving skills.
 * Excellent communication and teamwork abilities.

## Description

We are seeking a talented Generative AI (Gen AI) Engineer to join our innovative team. The ideal candidate will be responsible for developing, implementing, and optimizing generative AI models to create cutting-edge solutions across various applications, including natural language processing, image generation, and more., * Design, develop, and deploy generative AI models such as GANs, VAEs, transformers, and large language models.

 * Collaborate with cross-functional teams to understand requirements and translate them into AI solutions.
 * Fine-tune and optimize pre-trained models for specific tasks and datasets.
 * Conduct research to stay abreast of the latest advancements in generative AI and incorporate new techniques into projects.
 * Ensure the robustness, scalability, and ethical considerations of AI models.
 * Develop and maintain codebases, workflows, and documentation for AI model development.
 * Perform data analysis and preprocessing to support model training and evaluation.
 * Troubleshoot and resolve issues related to model performance and deployment.


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