What are the responsibilities and job description for the Senior Data Scientist with Graph-RAG Experience position at Intraedge?
Job Details
Position: Sr Data Scientist
Location: New York - Hybrid
Years of Experience: 6 - 9 years
Skills:
Python
PySpark
Google Cloud Platform
Git (GitHub, GitLab, BitBucket, SVN)
Machine Learning
Must have enterprise experience in GraphRag.
Details
We are looking for a senior data scientist with experience in Graph-RAG Gen AI solution for Natural language understanding and time series models for financial forecasting. Here some of the requirements.
Master's degree in Data Science, Mathematics, Computer Science, Engineering, Information Systems, or related STEM fields.
3 years full lifecycle product development and engineering leadership in highly available, highly scalable, and high throughput systems
Experience in deploying out-of-the box LLMs and Generative AI solutions including setting up Vector DBs, Graph RAG and extensive testing of LLMs.
Demonstrated experience with knowledge graphs
Experience in building and owning data science solutions and pipelines within the MLOps ecosystem in Vertex AI.
Experience in automating, troubleshooting and upgrading data & machine learning pipelines that allow model retraining and continuous monitoring
Hands-on expertise with handling distributed (multi-tiered) systems and automated testing ? unit and performance testing
Demonstrated experience in building and deploying a diverse set of Machine Learning (GLM, GBM, Neural Networks) and NLP solutions at scale
Proficiency and Hands-on Experience with Git, CI/CD tools, Elasticsearch, and a solution in each category: Orchestration, Container, Model Serving, Observability, and Feature Store
Strong proficiency in programming with Python, Machine Learning libraries and APIs (TensorFlow, Keras, PyTorch, ScikitLearn, , XGBoost)
Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alerts
Strong project management skills and effective stakeholder management skills, coupled with a continuous improvement mindset
Excellent presentation and communication skills, capable of explaining complex technical choices in simple terms to a diverse audience
Experience in one of the following is ideal: NLP on contracts; time series models with cloud spend data
Thorough understanding of enterprise infrastructure technologies (Compute, Storage, Network, Mainframe) to inform model development is preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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