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SWE2-Machine Learning (Potential Telework)

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Onsite

SWE2-Machine Learning (Potential Telework)

Wyetech, LLC

SWE2-Machine Learning (Potential Telework)

Skills

Big DataDockerPythonJavaData AnalysisMachine LearningKubernetesNLP / Natural Language Processing

19 days ago

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Important information


Contract type:

Permanent

Salary:

$133,203 – $250,161 / year

Location:

Laurel, MD, USA

Work mode:

Onsite

Published on:

2 October 2026

What they need


Wyetech is seeking a Software Engineer to support Machine Learning  as a Deployment Engineer who moves video,image,speech,and text analytics (VISTA)models from research prototype to production inference services that downstream engineering teams can run in Kubernetes or similar environments. You will work individually or as part of a small research/SDK team to:

  • Collaborate cross-functionally working directly with end users to understand requirements and with researchers to align development with real-world neds.
  • Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines.
  • Tune pipelines for throughput, and support them through customer transition.
  • Review and test software components against design requirements.
  • Create comprehensive user documentation and establish deployment best practices.
  • Resolve system problem reports and contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.

Required Skills/Experience:

  • Bachelor’s Degree in Computer Science or a related discipline. 14+ years of software engineering experience. Four (4) years of additional software development experience on comparable projects may be substituted for a bachelor's degree.
  • Strong Python experience
  • Solid understanding of DevOps practices and CI/CD pipelines
  • Intermediate/Advanced experience with containerization (Docker) container creation and performance optimization
  • Beginner/Intermediate experience with orchestration tools such as Kubernetes
  • Experience taking projects from prototype to production
  • Strong communication skills for technical and non-technical audiences
  • Self-motivated with ability to work independently and collaboratively

Preferred qualifications/ experience:

  • Software Development experience: C++, Java, GoLang, CUDA
  • Experience supporting production ML systems
  • Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
  • Knowledge of model formats and optimization (ONNX, TensorRT)

**25% telework 

The Software Engineer develops, maintains, and enhances 
complex and diverse software systems (e.g., processing-intensive 
analytics, novel algorithm development, manipulation of extremely 
large data sets, real-time systems, and business management 
information systems) based upon documented requirements. Works 
individually or as part of a team. Reviews and tests software 
components for adherence to the design requirements and documents 
test results. Resolves software problem reports. Utilizes software 
development and software design methodologies appropriate to the development environment. Provides specific input to the software 
components of system design to include hardware/software tradeoffs, software reuse, use of Commercial Off-the-shelf 
(COTS)/Government Off-the-shelf (GOTS) in place of new 
development, and requirements analysis and synthesis from system 
level to individual software components.

Capabilities:
(U)(U) Analyze user requirements to derive software design and performance requirements
(U) Debug existing software and correct defects
(U) Provide recommendations for improving documentation and software development process 
standards
(U) Design and code new software or modify existing software to add new features
(U) Integrate existing software into new or modified systems or operating environments
(U) Develop simple data queries for existing or proposed databases or data repositories
(U) Write or review software and system documentation
(U) Serve as team lead at the level appropriate to the software development process being used on any particular project
(U) Design or implement complex database or data repository interfaces/queries
(U) Develop or implement algorithms to meet or exceed system performance and functional 
standards
(U) Assist with developing and executing test procedures for software components
(U) Develop software solutions by analyzing system performance standards, confer with users or 
system engineers; analyze systems flow, data usage and work processes; and investigate problem 
areas
(U) Modify existing software to correct errors, to adapt to new hardware, or to improve its 
performance
(U) Design, develop and modify software systems, using scientific analysis and mathematical 
models to predict and measure outcome and consequences of design
(U) Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints; Perform quality control on team products
(U) Implement recommendations for improving documentation and software development process standards
(U) Oversee one or more software development teams and ensure the work is completed in 
accordance with the constraints of the software development process being used on any particular project
(U) Confer with system engineers and hardware engineers to derive software requirements and to 
obtain information on project limitations and capabilities, performance requirements and interfaces
(U) Coordinate software system installation and monitor equipment functioning to ensure 
operational specifications are met
 
Qualifications:

  • Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
  • Bachelor’s degree in Computer Science or related discipline from an accredited
  • Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).

 
At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.

  • Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.

 
Additional benefits include:

  • Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

 
Full-time employees have the option to participate in a variety of voluntary benefit plans including:

  • A Choice of Medical Plan Options, some with Health Savings Account (HSA)
  • Vision and Dental
  • Life and AD&D Benefits
  • Short and Long-Term Disability
  • Hospital Indemnity, Accident, and Critical Illness Insurances
  • Optional Identity Theft and Legal Protection Services
  • Employee Referral Bonus Eligibility up to $10,000
  • Mobility Among Wyetech-supported Contracts
  • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
  • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
  • Employees receive two complementary branded clothing orders annually.

 
 Salary Range: $64.04 - $120.27 USD Hourly 
 
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.

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