Data Scientist and Generative AI Developer
3 weeks ago
We are seeking an exceptional Data Scientist and Generative AI Developer to join our team at KPMG. As a key member of our data-driven initiatives, you will be responsible for developing and maintaining full-stack web applications using Python, Django, PostgreSQL, and Azure.
This role is ideal for an individual with expertise in machine learning, deep learning, statistics, and experience working with Generative AI models. You will leverage data-driven techniques to design, develop, and improve these models, utilizing Python libraries such as NumPy, Pandas, PyTorch/TensorFlow, Llamachain, and LangChain.
Responsibilities:
- Collaborate with cross-functional teams to design, develop, and implement data pipelines for collecting, cleaning, processing, and transforming raw data into usable formats for Generative AI models.
- Develop and maintain robust data ingestion workflows to handle large volumes of data and ensure data quality and integrity by implementing robust data validation and error handling mechanisms.
- Leverage your expertise in machine learning and deep learning to fine-tune LLMs/embeddings and run rigorous testing and validation to ensure accuracy, quality, and generalization of the models on unseen datasets.
- Present complex results in a clear and concise manner to stakeholders with different backgrounds and advise on the best strategies based on the model's findings.
Requirements:
- PhD/Master's degree in Computer Science, Mathematics, Statistics, or related field.
- Expertise in machine learning, deep learning, and statistics, with a strong focus on Generative AI models.
- Strong experience in Python programming, particularly with libraries like NumPy, Pandas, PyTorch/TensorFlow, Llamachain, and LangChain.
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
- Excellent communication and collaboration skills, with the ability to present complex ideas in a clear and concise manner.
Salary: $140,000 - $180,000 per year.
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