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5 дней назад

AI Solution Engineer - Ops

121 000 - 169 000$
Формат работы
hybrid
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 Solution Engineer - Ops (AI/data engineering): Executing analytics workflows, ETL pipelines, and machine learning model operations for a federal supply chain program with an accent on data ingestion, pipeline automation, and production analytics. Focus on monitoring inference jobs, validating data quality, maintaining auditable provenance records, and supporting Red Team and Blue Team analytics.

Location: Huntsville, AL or Washington, DC; hybrid schedule with 3 days onsite and 2 days remote. Required clearance: TS/SCI Eligible.

Salary: $121,000–$169,000 per year

Company

hirify.global provides cybersecurity, software development, IT infrastructure, supply chain management, system design, and continuous improvement services to the federal government.

What you will do

  • Execute ETL pipelines for supply chain data ingestion, transformation, and loading into the Exiger environment.
  • Run and monitor machine learning model inference jobs and report anomalies or performance degradation.
  • Build and maintain automated data pipelines using Python, SQL, and orchestration frameworks.
  • Produce analytics outputs supporting Red Team vulnerability assessments and Blue Team mitigation planning.
  • Validate data quality, maintain confidence-scoring documentation, and support analytics configuration releases.
  • Maintain pipeline documentation, run logs, and provenance records according to program governance standards.

Requirements

  • Must work from Huntsville, Alabama or Washington, DC on a hybrid schedule.
  • TS/SCI eligibility required.
  • High school diploma or GED required.
  • At least 4 years of experience in data science, analytics engineering, ML operations, or AI.
  • Proficiency in Python, SQL, ETL/ELT, data transformation, and pipeline tools such as Airflow, Spark, pandas, or dbt.
  • Experience with relational or cloud data platforms and ML model deployment and monitoring in cloud environments.

Nice to have

  • Experience with supply chain data, entity resolution, or risk analytics.
  • Familiarity with CUI and NIST 800-171 requirements.
  • Experience with Docker, Kubernetes, PostgreSQL, Snowflake, or similar cloud data warehouses.

Culture & Benefits

  • Eleven federal holidays and paid time off accrued each pay period.
  • Parental leave and continuing education assistance.
  • Medical, dental, and vision insurance with employer contributions.
  • Company-paid short- and long-term disability, life, and AD&D insurance.
  • 401(k) with matching and a vesting schedule.
  • Flexible spending accounts, employee assistance, wellness, legal, pet, and 529 college savings benefits.

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