Generative AI Engineer

1 week ago

McKinney, United States GBIT (Global Bridge InfoTech Inc) Full time

Job Title :Generative AI - Data Scientist

Primary Skills :Gen AI, data science, nlp, machine learning

Experience :9-15

Only US Citizens and Green Card


Job Description:


Job Details

  • Develop and implement enterprise-level Gen AI models and tools for business problem-solving.
  • Collaborate with customers to identify and address business challenges through data-driven solutions.
  • Build evaluation frameworks to measure LLM efficacy dataset quality and guide product development.
  • Research emerging trends and technologies in Gen AI and related data science areas.
  • Performed Exploratory Data Analysis to identify key features. Prepared and presented findings to corporate leadership.
  • Develop use cases for prioritized business problems. Devise an approach and solution. Identify and collect required datasets and establish milestones and metrics for project success.
  • Develop, Maintain RAG Pipelines and Optimize information retrievals for latency.
  • Communicate insights to both technical and non-technical stakeholders.
  • Conduct descriptive statistical analysis to reveal trends and patterns in customer data.
  • Build, validate, and implement predictive models in collaboration with business owners.
  • Design pilots, experiments, or surveys to derive insights for solving business problems.
  • Interpret complex statistical results in an easy-to-understand language.
  • Convert statistical findings into actionable business plans.
  • Present analytics or modeling results to both technical and non-technical stakeholders.

Qualifications:

  • Minimum bachelor’s degree in quantitative fields (mathematics, statistics, data science, physics, computer science, engineering, etc.); master’s or Ph.D. preferred.
  • Experience solving business problems in the construction and distribution industry.
  • 5+ years of experience in data science and machine learning development (2+ years with a master’s degree).
  • 2+ years of experience in Natural Language Processing (NLP). Experience with Large Language Models (LLM) would be a plus.
  • Proficient in utilizing machine learning technology stacks, which encompass various tools and frameworks, including notebook environments.
  • Proven expertise in building machine/deep learning models using common frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, TensorFlow, XGBoost, etc.
  • Solid Understanding and preferably working knowledge in Gen Techstack leveraging Langchain, LlamaIndex, React Prompt, Prompt engineering, Vector database, chunking , RAG pipelines, and optimizing Information Retrieval techniques and prompt Engineering Techniques.
  • Proficient in Python and experienced with machine learning and NLP processing.
  • Working knowledge of Datalake Techstacks ( like Snowflake, Big Query, Databricks) and Vector database.
  • 5+ years of experience in data querying languages, scripting languages, or statistical/mathematical software.
  • Extensive experience with statistical models and their application in data science.
  • Ability to translate efficacy measurements of data science models into tangible business impact metrics.
  • Proven knowledge of ML/AI platforms and workflows.
  • Experience with data preprocessing techniques for big data containing text and tabular data, including feature engineering, dimensionality reduction, and normalization.
  • Familiarity and hands-on experience with advanced ML models, including GPT-3/4, T5 , Claude and BERT.

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