Artificial Intelligence Engineer

1 week ago

Pune, India JetSynthesys Full time

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


Job Location:- Pune**


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.

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