| Data Scientist Engineer (Banking) || RemoteEST || Minimum of 12 years at Remote, Remote, USA |
| Email: [email protected] |
| From: jatin parashar, Vyze Inc [email protected] Reply to: [email protected] Job Description - Title: Data Scientist Engineer (Banking) Location: Remote EST Duration :12 months MOI: VIDEO Minimum of 12 years, MUST be an excellent communicator MUST have banking experience Responsibilities: Collaborate with researchers and data scientists to design sophisticated machine learning models. Implement and fine-tune neural network architectures, including transformer-based models. Optimize model performance, scalability, and efficiency. Conduct experiments to evaluate model performance, robustness, and generalization. Explore novel techniques and approaches to enhance model capabilities. Stay up-to-date with the latest advancements in NLP, deep learning, and AI research. Work with large-scale datasets, preprocess them, and create appropriate data representations. Select relevant features and ensure data quality for training and evaluation. Collaborate with cross-functional teams, including researchers, software engineers, and product managers. Communicate technical findings and insights effectively. Deploy trained models in production environments. Monitor model performance, troubleshoot issues, and iterate on improvements. Requirements Minimum 12+ years of experience; A strong background in Machine Learning, Deep Learning, and natural language processing; Depth in Data Science, Generative AI and Engineering; Proficiency in Python and relevant Machine Learning libraries (e.g., Transformer, TensorFlow, PyTorch); Experience with transformer-based models (e.g., BERT, GPT, T5, Llama); Solid understanding of statistics, linear algebra, and probability theory; Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing; Excellent problem-solving skills and the ability to work independently and collaboratively; MUST HAVE: Banking Industry experience; Keywords: artificial intelligence |
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| Thu Mar 14 20:45:00 UTC 2024 |