Bryant Technologies, Inc
Bryant Technologies, Inc

Senior AI Data Scientist

Washington, DC, US • Posted 16 hours ago • Updated 37 minutes ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Productivity
  • IaaS
  • Research
  • Computer Science
  • Statistics
  • Data Science
  • Programming Languages
  • Natural Language Processing
  • Named-Entity Recognition (NER)
  • Point Of Sale
  • scikit-learn
  • XGBoost
  • Statistical Models
  • Data Analysis
  • Problem Solving
  • Conflict Resolution
  • Application Development
  • Data Visualization
  • Plotly
  • matplotlib
  • Tableau
  • Microsoft Power BI
  • LangChain
  • LlamaIndex
  • Vector Databases
  • Semantic Search
  • Amazon SageMaker
  • Amazon EC2
  • Amazon S3
  • Terraform
  • Machine Learning Operations (ML Ops)
  • Agile
  • JIRA
  • Microsoft Azure
  • DevOps
  • IT Governance
  • FISMA
  • Software Security
  • Research Design
  • Prototyping
  • Large Language Models (LLMs)
  • Extraction
  • Workflow
  • Prompt Engineering
  • Cloud Computing
  • Amazon Web Services
  • Kubernetes
  • Analytical Skill
  • Python
  • Dash Python
  • Flask
  • R
  • Management
  • Docker
  • Continuous Integration
  • Continuous Delivery
  • Generative Artificial Intelligence (AI)
  • API
  • Optimization
  • Dashboard
  • Data Quality
  • Presentations
  • Evaluation
  • System Security
  • Privacy
  • Artificial Intelligence
  • Machine Learning (ML)
  • Documentation
  • Mentorship

Summary

Project Description :
We are seeking a Senior Data Scientist to support an AI Lab focused on exploring and implementing generative AI and machine learning solutions that enhance staff productivity and improve analytical capabilities. This is a full-stack role requiring end-to-end ownership - from exploratory research and model development through application deployment and production maintenance.

The ideal candidate is comfortable working across the full technology stack: building models, creating visualizations, developing applications, and deploying solutions to on-premises and/or cloud infrastructure. The AI Lab operates as a small, agile team where practitioners move fluidly between research, development, and deployment activities.

Location: Washington, DC | US Citizenship is Required

Qualification Requirements :
  • US Citizenship required
  • Minimum 6 years of hands-on experience developing, deploying, and maintaining AI/ML applications within a large professional or academic organization
  • Bachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or related field (Master's degree preferred)
  • Expert proficiency in Python or R for data science development; experience with additional programming languages a plus
  • Production deployment experience: ability to build, deploy, and maintain AI/ML applications in cloud environments, including containerization and basic CI/CD practices
  • Proficiency building interactive applications and dashboards using frameworks such as Streamlit, Dash, Flask, or R Shiny
  • Strong experience creating visualizations and dashboards using Python/R libraries, Tableau, Power BI, or similar tools
  • Advanced knowledge of machine learning, NLP (Named Entity Recognition, POS tagging, word embeddings), and Generative AI technologies; experience with Scikit-learn, SpaCy, XGBoost
  • Advanced knowledge of statistical modeling, data analysis techniques, and problem-solving skills
  • Ability to work independently and collaboratively, taking ownership of solutions from conception through production deployment


Skills Requirements :
  • Generative AI & LLM application development: prompt engineering, RAG systems, fine-tuning, model evaluation
  • Cloud deployment: AWS, Kubernetes, containerization (Docker), CI/CD pipelines
  • Application frameworks: Streamlit, Dash, Flask, R Shiny
  • Data visualization: Plotly, Matplotlib, Seaborn, ggplot2, Tableau, Power BI
  • LLM APIs and frameworks: GPT, Llama, LangChain, LlamaIndex; vector databases and semantic search
  • AWS AI services: Amazon Bedrock, SageMaker, Comprehend, Rekognition, Transcribe
  • AWS deployment services: EC2, ECS, Lambda, S3, CloudWatch
  • Infrastructure as code: Terraform, CloudFormation
  • MLOps practices: model monitoring, versioning, automated retraining, and deployment pipelines
  • Responsible AI practices: bias detection, fairness evaluation, and model interpretability
  • Agile project tracking tools: Jira, Azure DevOps
  • Federal IT governance frameworks: FISMA, privacy requirements, and application security in regulated environments


Responsibilities :
  • Research, design, and develop machine learning and generative AI solutions, including proof-of-concept prototypes transitioning into production applications
  • Design and implement applications leveraging large language models (LLMs) for text analysis, summarization, information extraction, document classification, and workflow automation
  • Develop prompt engineering strategies and retrieval-augmented generation (RAG) systems to improve AI application performance
  • Build, deploy, and maintain AI/ML models in cloud environments (AWS, Kubernetes), managing end-to-end deployment independently or collaboratively
  • Develop interactive dashboards and analytical applications using Python frameworks (Streamlit, Dash, Flask) or R Shiny
  • Manage deployment pipelines including containerization (Docker), CI/CD practices, and GenAI API integrations with cost optimization
  • Implement monitoring, logging, alerting, and dashboards for model performance, data quality, and system health
  • Communicate technical concepts effectively to both technical and non-technical audiences through presentations, reports, and executive summaries
  • Apply responsible AI practices including fairness evaluation, bias detection, and model interpretability
  • Support governance documentation including system security plans, privacy impact assessments, and authority to operate processes
  • Contribute to building an AI/ML practice through documentation, capability development, and mentoring team members


Job ID : 1577
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.
  • Dice Id: 10301578
  • Position Id: 1577
  • Posted 16 hours ago
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