GenAI and LLM Expert
3 days ago
At Talent Divas Consulting, we're looking for a seasoned GenAI and LLM expert to join our AI research and development team. This role offers a unique opportunity to work with cutting-edge technologies and contribute to the development of innovative AI solutions.
About the PositionThe successful candidate will be responsible for designing, developing, and deploying state-of-the-art generative models using PyTorch. They will work closely with our AI scientists and engineers to advance the capabilities of Generative AI, build and fine-tune large language models, and implement solutions using PyTorch.
Key Responsibilities- Design and implement novel LLM architectures using PyTorch to enhance the performance of generative models.
- Fine-tune and Optimize Models: Fine-tune pre-trained language models, optimize performance, and reduce latency while maintaining high-quality output.
- Data Engineering: Collaborate with data scientists to preprocess, curate, and manage large-scale datasets required for training and fine-tuning generative models.
- Experimentation and Evaluation: Conduct experiments to benchmark model performance and iterate based on findings, ensuring models meet accuracy and efficiency standards.
- Collaboration and Documentation: Work closely with cross-functional teams, including ML engineers, software developers, and product managers. Document model development, training, and deployment workflows.
- Deployment and Maintenance: Help deploy models to production and ensure the scalability, robustness, and efficiency of the AI systems.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 3+ years of experience working with GenAI or LLMs and extensive hands-on experience with PyTorch.
- Technical Skills:
- Proficiency with PyTorch for developing, training, and fine-tuning large-scale neural networks.
- Deep understanding of LLM architectures (e.g., Transformer, GPT, BERT, T5) and generative models.
- Experience with data engineering and preprocessing for large-scale model training.
- Knowledge of deployment frameworks (e.g., ONNX, TorchScript) and cloud-based model deployment (AWS, GCP, Azure).
- Familiarity with MLOps tools and best practices.
- Soft Skills:
- Strong problem-solving ability, a collaborative mindset, excellent communication skills, and a passion for generative AI.
- Preferred Qualifications:
- Prior experience with publication or project contributions in the GenAI or LLM space.
- Experience with other deep learning libraries such as TensorFlow.
- Familiarity with distributed training and optimization techniques.
The estimated salary range for this position is $150,000-$200,000 per year, commensurate with experience. We offer a comprehensive benefits package, including health insurance, retirement plans, and paid time off.
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