6 Machine Learning Engineer Jobs in Chantilly, VA
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J5 Consulting is Hiring a Machine Learning Engineer Near Chantilly, VA
J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities. Our services improve Information System networking performance and compliance and protect electronic assets from loss and compromise. We welcome your application to receive consideration for the following position.
Job Overview:The Customer conducts technical assessments and provides technical guidance on the use of various enterprise and mission enabling technologies supporting the Customer’s Information Technology (IT) systems and network infrastructures in order to enhance the security posture and usability. The Customer also provides critical review and guidance on procurement and supply chain issues, conducts digital forensic systems evaluation and analysis, and delivers technical support to investigations and insider threat issues. The Customer leverages technology, combined with subject matter expertise, to conduct these activities in support of its corporate office as well as external mission partners and stakeholders.
In support of the above activities, the Customer delivers data science and data engineering services across the department. The Customer’s office provides short-term and long-term data science support, which requires technical expertise to deploy verified mathematical and scientific techniques programmatically. The Customer’s office also provides short-term and long-term data engineering support. The work is performed within a team environment and requires constant iteration with stakeholders. Work will include development of python programming packages and data engineering pipelines to support cross-enterprise needs. Work will include high technical skill in programming, primarily python, and common data engineering tools, as well as high levels of collaboration, communication, and requirements solicitation.
Contractor personnel serving in designated High Risk Roles (HRR) are required to comply with the Customer’s screening program, whereby completion of a medical screening process to obtain a medical clearance is required. The Customer will determine the appropriate level of medical screening based on the High Risk Roles specifically identified by the GTM.
In the following roles, this position will:Data Science Support – HRR: YES
US Citizenship:
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Job Overview:The Customer conducts technical assessments and provides technical guidance on the use of various enterprise and mission enabling technologies supporting the Customer’s Information Technology (IT) systems and network infrastructures in order to enhance the security posture and usability. The Customer also provides critical review and guidance on procurement and supply chain issues, conducts digital forensic systems evaluation and analysis, and delivers technical support to investigations and insider threat issues. The Customer leverages technology, combined with subject matter expertise, to conduct these activities in support of its corporate office as well as external mission partners and stakeholders.
In support of the above activities, the Customer delivers data science and data engineering services across the department. The Customer’s office provides short-term and long-term data science support, which requires technical expertise to deploy verified mathematical and scientific techniques programmatically. The Customer’s office also provides short-term and long-term data engineering support. The work is performed within a team environment and requires constant iteration with stakeholders. Work will include development of python programming packages and data engineering pipelines to support cross-enterprise needs. Work will include high technical skill in programming, primarily python, and common data engineering tools, as well as high levels of collaboration, communication, and requirements solicitation.
Contractor personnel serving in designated High Risk Roles (HRR) are required to comply with the Customer’s screening program, whereby completion of a medical screening process to obtain a medical clearance is required. The Customer will determine the appropriate level of medical screening based on the High Risk Roles specifically identified by the GTM.
In the following roles, this position will:Data Science Support – HRR: YES
- Create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard
- Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices
- Clean, parse and transform data from multiple file types into appropriate database architectures (e.g. SQL, noSQL, and graph) which perform at scale
- Develop, deploy and provide feature enhancements using Python for data science products and services, to include Python packages, code documentation, notebooks, and microservices
- Ensure that all technical development and content complies with Customer’s security policies and regulations
- Work closely with the Customer to review and track data science and data engineering requirements and provide regular updates to clearly explain the project status and results in both written and verbal or multimedia briefings.
- Consult with stakeholders to determine present and future user needs for Customer consideration
- Be required to communicate and collaborate across organizational boundaries, to include other staff and contractor teams
- Work with Customer staff and contractor personnel, as well as external stakeholders on mission-based projects
- Implement data science and data engineering requirements as defined by the Customer
- Determine how requirements are satisfied. Project priorities are managed by the staff manager of the business unit. Planned activities shall be coordinated with all stakeholders and approved by the Customer
- Utilize project management systems such as Confluence and JIRA to define and track requirements
- Ensure that technical solutions leverage industry best practices, designing for security and excellence while minimizing the total cost of ownership
- Demonstrated on-the-job experience developing Python programming packages to include REST APIs and microservices
- Demonstrated experience developing and testing reusable Python code
- Demonstrated experience with machine learning techniques including natural language processing and computer vision
- Demonstrated on-the-job experience using Linux flavored operating systems (OS) and with automating work flows using Bash scripting
- Demonstrated experience using data engineering tools such as Apache Nifi to preprocess, modify, aggregate, load, index, and archive large data collections
- Demonstrated experience performing the extraction, transformation, and loading (ETL) of structured and unstructured data into pipelines to ensure it is ingested into downstream systems with accuracy, reliability, and consistency at scale
- Demonstrated experience modeling, structuring, cleaning, and conditioning data from multiple sources and in multiple different formats, languages, and encodings
- Demonstrated experience using Elasticsearch and Kibana technologies
- Demonstrated experience using code repositories such as Git
- Demonstrated experience developing robust documentation for code, Python packages and data science methodologies
- Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats
- Demonstrated experience delivering results to stakeholders through written documentation and oral briefings
- Demonstrated experience working with multiple stakeholders
- 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
US Citizenship:
- This position requires US Citizenship. Verification of US Citizenship to meet federal government security requirements will be confirmed
- The successful candidate must have an active U.S. Government Top Secret Security Clearance with a Full Scope Polygraph
- Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment
- This position is expected to be onsite. The position will be located within the Washington Metropolitan Area (WMA). Local travel/POV will be on an as needed basis, within the local place of performance
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Job Summary
JOB TYPE
Full Time
SALARY
$98k-118k (estimate)
POST DATE
07/09/2023
EXPIRATION DATE
09/05/2024
WEBSITE
j5consulting.co
HEADQUARTERS
Bowie, MD
SIZE
<25
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The job skills required for Machine Learning Engineer include API, Python, Linux, Programming, SQL, Docker, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
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The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.
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