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23 часа назад

Applied AI/ML Engineer (AI)

150 000 - 200 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
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
Applied AI/ML Engineer (Python/GenAI): Designing, deploying, and integrating production machine-learning and generative-AI capabilities for practical problems in federal software with an accent on model evaluation, data pipelines, and scalable serving. Focus on building LLM workflows, retrieval-augmented generation, model monitoring, and balancing accuracy, latency, cost, and maintainability.

Location: Hybrid/remote for candidates located in the DMV area (DC, Maryland, or Virginia), with in-office collaboration required.

Salary: $150,000–$200,000 per year

Company

hirify.global builds quality software for the federal space to improve people's daily lives.

What you will do

  • Design, develop, and deploy machine-learning and AI-powered features in production systems.
  • Apply supervised, unsupervised, and deep-learning techniques to structured and unstructured data.
  • Build and evaluate models for classification, ranking, prediction, NLP, and anomaly detection.
  • Develop and integrate GenAI solutions, including LLM workflows, retrieval-augmented generation, and agents.
  • Build data pipelines and feature-engineering workflows for training and inference.
  • Evaluate model performance, bias, drift, and reliability while collaborating on APIs, architecture, scalability, and cost optimization.

Requirements

  • Strong foundation in machine-learning concepts, including model selection, training, validation, and evaluation.
  • Experience building and deploying ML models in real-world applications.
  • Proficiency in Python and common ML libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Experience with large language models, embeddings, and prompt-driven systems.
  • Familiarity with data-processing tools such as Pandas, SQL, or Spark.
  • Must be authorized to work in the United States; certain roles may require U.S. citizenship, a federal background investigation, or a security clearance.

Nice to have

  • Experience in innovation, R&D, labs, or exploratory engineering teams.
  • Experience deploying models to cloud platforms and managing inference at scale.
  • Familiarity with MLOps, model monitoring, CI/CD for ML, and experiment tracking.
  • Experience contributing to architecture discussions or technical strategy.

Culture & Benefits

  • Learning, growth, and opportunities to make a significant impact at a small company.
  • Fully remote work option with an annual stipend.
  • Comprehensive benefits package.
  • Company-matched 401(k) plan.
  • Flexible PTO and paid holidays.

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