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ARSIEM

355 - Senior Software Engineer

ARSIEM • US
JavaPython
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About ARSIEM Corporation

At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients.  We provide support to multiple agencies across the United States Government.  ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support.

As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients.  That means a career packed with opportunities to grow and the ability to have an impact on every client you work with. 

ARSIEM is looking for an experienced Senior Software Engineer to create custom analytics to perform at scale. The software engineer will work closely with data scientists and end users to develop innovative analytic tools to further discovery and tradecraft around critical global challenges, then deliver innovative solutions focused on operationalizing data science. This position will support one of our government clients in Fort Meade, MD.

Responsibilities

  • Work directly with data scientists as well as mission analysts to solve the most demanding strategic problems
  • Perform end-to-end software engineering to prototype, develop, integrate, test, and deploy tools and tradecraft into the customer's corporate architecture

    • Minimum Qualifications

  • Strong experience with Jupyter Notebooks, Java MapReduce, Python PySpark
  • Strong experience with statistical analysis and machine learning fundamentals
  • Strong experience with customer tools, architecture, data flow, and use of big data
  • Proficiency with Jira, Confluence, Gitlab; experience with Agile methodologies
  • Bachelor's degree plus 11-years of relevant experience or equivalent

    • Preferred Qualifications

  • Experience with software development processes (i.e., requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance) and programming
  • Experience with Data Science, Machine Learning (ML), Artificial Intelligence (AI) and using Large Language Models (LLMs)​
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