Senior Generative AI Model Architect

21 hours ago

Bengaluru, Karnataka, India Talent Divas Consulting Full time

We are seeking a highly skilled GenAI and LLM expert to join our team at Talent Divas Consulting. As a key member of our AI research and development team, you will work alongside AI scientists and engineers to develop, optimize, and deploy state-of-the-art generative models.

About the Role

This role is ideal for someone passionate about advancing the capabilities of Generative AI, building and fine-tuning large language models (LLMs), and implementing solutions using PyTorch. You will be responsible for designing and implementing state-of-the-art LLM architectures using PyTorch for various NLP and generative tasks, including text generation, question answering, and language translation.

Key Responsibilities
  • Develop and implement novel LLM architectures using PyTorch to improve 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.
Requirements
  • 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.

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