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3 дня назад

DoW SkillBridge Fellowship - Data Scientist (AI/ML)

70 000 - 135 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
DoW SkillBridge Fellowship - Data Scientist (AI/ML) (AI/ML, generative AI, MLOps): Building scalable AI and machine learning solutions that transform service interaction data into production-ready capabilities with an accent on LLMs, RAG, data pipelines, and model lifecycle execution. Focus on automating analysis of transcripts and feedback, developing predictive models and software processes, and deploying monitored ML systems.

Location: Pensacola, Florida, United States; hybrid

Salary: $70,000–$135,600 annual estimated full-time salary. SkillBridge participants are not compensated by Navy Federal during the fellowship and continue receiving military compensation and benefits as active-duty service members.

Company

hirify.global is a large financial services organization providing member-focused banking and technology services.

What you will do

  • Scale AI solutions from experimentation and proof of concept to production-ready capabilities.
  • Automate analysis of call transcripts, surveys, digital feedback, and other service interaction data.
  • Implement generative AI, LLM, RAG, and intelligent automation solutions.
  • Develop software programs, algorithms, automated processes, predictive models, and trend analyses.
  • Analyze results, document findings, and present technical insights.
  • Collaborate with team members on projects and initiatives.

Requirements

  • Eligibility: transitioning service members only as part of the DoW/DoD SkillBridge Program Fellowship.
  • Experience or education in data science, AI and NLP, ML engineering, or data foundations.
  • Knowledge of statistics, predictive modeling, forecasting, experimentation, or related data science techniques.
  • Experience with SQL, Python, APIs, ETL, data pipelines, and model lifecycle execution.
  • Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, or a similar quantitative field, or equivalent experience.
  • Technical communication, data storytelling, presentation, and problem-solving skills.

Nice to have

  • Master’s degree in data science, statistics, mathematics, computer science, or engineering.
  • Experience with LLMs, prompt engineering, RAG, embeddings, text analytics, deployment, monitoring, MLOps, or CI/CD.
  • Experience with PySpark, vector databases, Azure Databricks, Azure AI Foundry, Azure OpenAI, or MLflow.

Culture & Benefits

  • Engaged, committed workplace culture focused on meaningful career experiences.
  • Competitive pay and benefits may apply if hired as a full-time Navy Federal employee after the fellowship.
  • Recognition as a military-friendly and veteran-focused employer.

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