JetSynthesys - Artificial Intelligence Engineer - LLM (4-5 yrs)

Job Description : We are seeking a talented and experienced LLM (Large Language Model) Engineer to join our RightLife team in Pune.

The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and artificial intelligence (AI) with hands-on experience in deploying and fine-tuning large language models.

Responsibilities :

- Design, implement, and optimize LLM-based solutions to solve complex NLP problems.

- Work on the fine-tuning and customization of large pre-trained models such as GPT, BERT, or similar architectures.

- Collaborate with data scientists, product managers, and software engineers to integrate LLM capabilities into the product.

- Develop scalable machine learning pipelines for training, testing, and deploying LLM models.

- Analyze and improve the performance of models by experimenting with different architectures, hyperparameters, and datasets.

- Stay updated with the latest advancements in LLM, NLP, and AI technologies and apply them to enhance model performance.

- Troubleshoot and resolve issues related to model accuracy, latency, and scalability.

Education Requirements :

- Bachelor's or master's degree in computer science, Engineering, or a related field.

- Preferred : Publications or contributions to research papers in the field of NLP or machine learning.

- Experience in working on multilingual models or domain-specific LLMs.

- Strong experience with NLP, deep learning, and machine learning frameworks like TensorFlow, PyTorch, Hugging Face, etc.

- Expertise in working with large pre-trained models such as GPT, BERT, T5, etc.

- Proficient in Python and libraries such as NumPy, pandas, and Scikit-learn.

- Familiarity with distributed systems and cloud platforms like AWS, Azure, or Google Cloud for model deployment.

- Experience in fine-tuning, training, and deploying models in a production environment.

- Knowledge of data engineering practices to manage large-scale data pipelines for model training and inference.

- Strong analytical and problem-solving skills, with the ability to work in a fast-paced environment