Job Details
Looking for AI/ML engineers to join our Gen AI COE team to help advance the development of the Gen AI solutions. You will conduct research, experiment with different models and frameworks, and assist in building LLM applications. The ideal candidate is detail-oriented, rigorous about validating results, talented at distilling down complexity, and loves tackling and solving complex problems.
Responsibilities
- Conducting research on generative AI models, Embedding techniques, Transformers, and LLMs.
- Developing use cases and solutions for prioritized business problems.
- Developing, maintaining RAG Pipelines, and optimizing information retrievals for latency.
- Communicating insights to both technical and non-technical stakeholders.
- Prompt Engineering: Engineering prompts and optimizing few-shot techniques.
- Model Evaluation & Optimization: Evaluating LLMs zero-shot and few-shot capabilities, fine-tuning hyperparameters.
Requirements
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Proficiency in Python and experience working with machine learning and NLP processing techniques and tools.
- Proven expertise in building deep learning models using common frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, XGBoost, etc.
- Solid understanding and preferably working knowledge of GenAI Techstack.
- Familiarity and preferably hands-on experience with Opensource LLMs (GPT-4, T5, Claude, BERT, Multi-Modal LLMS).
- Experience developing RAG pipelines using multi-vector indexing, multi-query retrievers, and multi-modal LLMs would be a plus.