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Machine Learning Engineer

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Job ID: 2310980
Location: HERNDON, VA, United States
Date Posted: Sep 27, 2023
Category: Engineering and Sciences
Subcategory: Machine Learning Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No Remote
Benefits: Click here

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Job Description


SAIC, a leading provider of systems development and deployment, targeting and intelligence analysis, systems engineering and integration, and training capabilities and solutions for the Intelligence Community (IC), is seeking creative and dedicated professionals to fulfill their career goals and objectives, while delivering mission excellence on programs of national importance. 

SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, is seeking a Machine Learning Engineer to develop Python programming packages and data engineering pipelines to support cross-enterprise needs. This will include high technical skills in programming and common data engineering tools, as well as high levels of collaboration, communication, and requirements solicitation. 

Responsibilities include: 

  • Creating data science and data engineering products that include data models, data ingestion/transform, analytics which includes machine learning, and some form of output as either a machine-readable format, a user interface, or dashboard 

  • Developing data engineering pipeline utilizing Apache Nifi and Python to include use and development of REST APIs and microservices

  • Cleaning, parsing, and transforming data from multiple files types into database architecture (e.g., SQL, NoSQL, and Graph) 

  • Ensuring technical solutions leverage industry best practices, designing for security and excellences while minimizing the total cost of ownership 


Required Qualifications:

  • Active TS/SCI with polygraph 

  • Bachelor’s Degree (B.S.) in Computer Science, Software Engineering, Information Management Systems, or a related discipline. Note that years of experience can be substituted in lieu of degree. 

  • Five (5) or more years of demonstrated experience in the following: 

    • Developing Python programming packages and code to include REST APIs and microservices

    • Utilizing machine learning techniques including natural language processing and computer vision

    • Using Linux flavored operating systems and with automating work flows usng Bash scripting

    • Using data engineering tools such as Apache Nifi to preprocess, modify, aggregate, load, index, and archive large data collections

    • Performing ETL of structured and unstructured data into pipelines to ensure it is ingested into downstream systems with accuracy, reliability, and consistency at scale

    • Modeling, structuring, cleaning, and conditioning data for multiple sources and in multiple different formats, languages, and encodings

    • Using Elasticsearch and Kibana technologies

    • Using code repositories such as Git

    • Delivering results to stakeholders through written documentation and oral briefings
    • Developing robust documentation for code, Python packages, and data science methodologies  

    • Explaining complex technical issues in graphical, verbal, or written formats

Desired Qualifications:

  • Demonstrated experience with cloud services, such as AWS. 

  • Demonstrated experience using big data processing tools such as Apache Spark or Trino. 

  • Demonstrated experience using container frameworks such as Docker or Kubernetes. 

  • Demonstrated experience using data visualizations tools such as Tableau. 

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.


SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective and efficient solutions that are critical to achieving our customers' missions.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity, and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.9 billion. For more information, visit For ongoing news, please visit our newsroom.

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