Generative AI Engineer
7 days ago
Job Role : GenAI.
Experience : 3 to 6 Years.
Location : Remote.
Notice Period : Immediate to 15Days.
Position Type : C2H.
Job Description :
Skills :
- Proficiency in Python and experience with machine learning libraries.
- Understanding of deep learning and generative AI algorithms.
- Ability to work with large datasets and cloud platforms (AWS, GCP, or Azure).
- Familiarity with prompt engineering and fine-tuning techniques for large language models.
- Strong problem-solving skills, with a focus on practical, real-world applications of AI.
Experience :
- Proven experience in deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Strong proficiency with natural language processing (NLP) or computer vision generative models.
- Experience with transformer architectures (e.g. , GPT, BERT) and GANs.
- Model Development : Develop, train, and deploy generative models (e.g. , GPT, DALL-E, Stable Diffusion) tailored to specific business needs.
- Data Preparation : Collaborate on data collection, pre-processing, and augmentation to ensure model readiness for diverse applications.
- Model Optimization : Implement techniques to improve model efficiency, scalability, and performance.
- Cross-functional Collaboration : Work with data engineers, software developers, and product managers to integrate AI models into production.
- Research and Experimentation : Stay up-to-date with advancements in generative AI, experiment with new architectures and frameworks, and implement cutting-edge techniques.
- Model Evaluation and Fine-tuning : Design evaluation metrics, fine-tune models based on feedback, and ensure results meet quality standards.
- Documentation and Reporting : Maintain clear documentation of models, datasets, experiments, and project progress for technical and non-technical stakeholders.
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