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2 дня назад

AI/ML Data Scientist

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI/ML Data Scientist (AWS/Generative AI): Building machine learning, anomaly detection, fraud detection, semantic search, and investigative analytics solutions across structured and unstructured data with an accent on AWS data lakehouses, foundation models, and explainable AI. Focus on designing scalable pipelines, evaluating model performance, integrating AI capabilities into production, and supporting human-in-the-loop investigation workflows.

Location: 100% remote; role is associated with McLean, Virginia, and requires the ability to obtain and maintain a U.S. Public Trust clearance. U.S. citizenship is preferred.

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

  • Define AI, machine learning, and advanced analytics use cases with stakeholders.
  • Design anomaly detection, fraud detection, semantic search, entity resolution, and relationship analytics models.
  • Use Generative AI and foundation models for alert enrichment, case summarization, evidence synthesis, and investigative decision support.
  • Build data science solutions in an AWS data lakehouse, including data preparation, feature engineering, training, inference, monitoring, and analytics.
  • Integrate models into production with data engineers, cloud engineers, investigators, and business stakeholders.
  • Develop evaluation, explainability, risk-scoring, dashboards, alerting, and human-in-the-loop workflows.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • At least 4 years of experience in data science, machine learning, artificial intelligence, or applied analytics.
  • Ability to obtain and maintain a U.S. Public Trust clearance; U.S. citizenship is preferred.
  • Experience with NLP, semantic search, entity resolution, anomaly or fraud detection, graph analytics, or network analysis.
  • Strong Python and SQL skills, including experience with Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow.
  • Experience with AWS-native services, data lakehouse architectures, scalable ML pipelines, model monitoring, responsible AI, and Agile delivery.

Nice to have

  • Production experience with anomaly detection, fraud analytics, risk scoring, or investigative decision-support systems.
  • Experience with Amazon Bedrock, RAG, prompt engineering, agentic workflows, guardrails, and foundation-model evaluation.
  • Experience with semantic or hybrid search, multimodal document processing, OCR/ICR, Amazon Textract, SageMaker, OpenSearch, graph databases, or knowledge graphs.
  • Experience supporting federal clients or working in regulated environments.

Culture & Benefits

  • Contract-to-hire work arrangement.
  • Agile, cross-functional collaboration with technical, investigative, and business stakeholders.
  • Eligible employees may receive medical, dental, vision, spending-account, life-insurance, and voluntary-plan benefits.
  • Eligible employees may participate in a 401(k) plan.

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