Gen AI Architect
Gen AI Architect
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Job Description
Position: Gen AI Architect
Location: Plano TX (Onsite / local)
Duration: 1 Years
Responsibilities
Gathers interprets and manipulates structured and unstructured data to enable analytical solutions for the business.
Selects the appropriate modeling technique and/or technology with consideration to data limitations application and business needs.
Build various ML Models within the Model guidelines and framework.
Consults with peers for guidance as needed.
Translates business requirements into specific analytical questions build ML Models and present model outcomes to nontechnical business colleagues.
Consults with Data Engineering IT the business and other internal stakeholders to deploy analytical solutions
Stay current with emerging trends and technologies in data quality management data profiling data cleansing tools and AI/ML.
Collaborate with data governance teams to ensure compliance with regulatory requirements and industry and legal standards related to data quality and privacy.
Able to identify GenAI use cases given in various business scenarios and come up with possible solutions.
Familiar with various GenAl technologies Prompt Engineering RAG etc
Skills & Qualifications
10 to 12 years of relevant experience and 6 years of experience in data science machine learning quantitative analytics (Mathematics Statistics or Operational Research etc) roles
Masters degree in computer science Statistics or a related field (Mathematics Operational Research Data Science)
Experience in Building and validating statistical machine learning and other advanced analytics models.
Experience in Regression (multiple Logistic etc) Classification (Decision Tree Random Forest XGBoost etc) and Time series Forecasting models (ARIMA) Segmentation NLP Deep Learning and Graph Analytics.
Experience in Data Mining Python R SQL and familiarity with ML technologies
Experience in using ML Libraries.
Working Experience in Domino Data Lab AWS Sagemaker Snowflake are a plus
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Employment Type
Full Time
