Co-op Engineer- Data Science
2 weeks ago
Responsibilities:
- Research & Build (and/or Prototype) Gen AI model(s) using LLMs
- Design, develop and fine-tune scalable LLMs (Large Language Model)
- Collaborate with UX designer and front-end developer to incorporate UI design to the Gen-AI platform
- Collaborate with platform software engineers for integrating Gen-AI model into existing solution
- Conduct technical research and present to the team
What you’ll bring to the team:
- Strong background in mathematics and statistics.
- A strong foundation in algorithms, data structure, and object-oriented programming along with proficiency in Python, R, and Java.
- Experience in using ML algorithms (i.e., supervised, unsupervised, and Reinforcement Learning) and exploratory data analysis (EDA) tool and libraries including Numpy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
- Solid knowledge of Artificial neural networks like CNN, RNN, LSTM, and GRU, along with expertise in DL frameworks such as PyTorch, TensorFlow.
- Deep understanding of various NLP tasks and concepts in both NLU (e.g, text/token classification) and NLG (e.g., text generation) domains as well as hands-on experience with NLP libraries like SpaCy, and NLTK.
- Theoretical knowledge of advanced NLP concepts including transformers, pre-training with self-supervised techniques, and transfer learning, along with experience in fine-tuning Auto-encoder, Autoregressive and Seq2Seq Language Models from Hugging Face.
- Familiarity with Generative AI concepts and tools including (Multimodal) Large Language Models, Retrieval Augmented Generation, Vector databases and Langchain.
- Prior internship experience in AI/ML development.
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