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Wet Etch Equipment Engineer, Solar Cells (Starlink)
SpaceX
Bastrop, TX
…scale. You will work closely with our existing Texturing Process Engineering team to ensure world-class equipment performance, reliability, and uptime. While the process team focuses on…
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Site Reliability Engineer (Infrastructure, Virtualization, & Compute)
SpaceX
Memphis, TN
Work with SpaceX engineers to gather requirements and to design, deploy, and support resilient, high-performance systems for engineering, production, and mission workloads.
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Equipment Engineer, Wet Process (Solar Cells)
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…scale. You will work closely with our existing Texturing Process Engineering team to ensure world-class equipment performance, reliability, and uptime. While the process team focuses on…
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Equipment Engineer, Solar Cell Metallization (Starlink)
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…closely with our existing Metallization/Screen Printing Process Engineering team to ensure world-class equipment performance, reliability, and uptime. While the process team focuses on…
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Tier II Incident Response Senior Analyst (Night Shift)
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…convergence of cybersecurity, intelligence, analytics, and systems engineering. We invite you to join the team where you can build, innovate, and secure your…
Added 1 min ago
Solutions Engineer – State, Local, Educational (SLED) Campus Security
Skydio
San Mateo, CA
Solutions Engineers are critical members of the Skydio organization and work closely with Key Account Leaders, Engineering, and Product to support deal progression, customer confidence,…
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Solutions Engineer – State, Local, Educational (SLED) Corrections Security
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San Mateo, CA
Solutions Engineers are critical members of the Skydio organization and work closely with Key Account Leaders, Engineering, and Product to support deal progression, customer confidence,…
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SWING SHIFT ELECTRICAL & INSTRUMENTATION TECHNICIAN
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…reliability, and collaborating with Maintenance, Operations, Engineering, and EHS. This is hands-on industrial maintenance - not primarily residential or commercial electrical…
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Head of Payment Processor Integrations
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Raleigh, NC · Austin, TX
The role sets the processor integration and data exchange strategy that guides Integration Engineering, Implementations and Partnerships. It draws on deep knowledge of financial services…
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Senior Network Engineer (CCIE, Secret Clearance required)
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The Senior Network Engineer (CCIE) leads hands-on assessment, troubleshooting, remediation, and validation of enterprise network services supporting video and other time-sensitive…
Added 2 mins ago
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Full Stack Developer I
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- $55,000 to $60,000 USD / year
At Paul Logistics, developers work on real systems that support daily operations across our transportation network. This role provides hands-on experience across the full technology stack…
Added 4 mins ago
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Engineering Manager, Internal Attack
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Remote, United States
- $238,000 to $280,000 USD / year
…capability and a core part of the growing Horizon3 platform. As Engineering Manager for Internal Attack Engineering, you'll lead an elite group of offensive engineers, with backgrounds in…
Added 6 mins ago
Technician A (Electronics)
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Operations & Maintenance: Support daily radar operations and maintenance, including transmitter start-ups, RF electronics and subsystem troubleshooting, and real-time system monitoring.
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Technical Project Manager
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Lead cross-functional teams spanning software engineering, systems engineering, cybersecurity, Information Assurance, IT, test, security, facilities, finance, contracts, procurement, and…
Added 6 mins ago
Systems Administrator II
LEIDOS, INC.
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The Leidos AEGIS program is seeking an experienced Systems Administrator II to support enterprise conferencing, audiovisual (AV), and network-connected systems and devices. In this role,…
Added 6 mins ago
Senior Program Director
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Reston, VA
Leidos is seeking an experienced Senior Program Director to lead NATO's Operational Network Extension (ON-X), a large-scale $1B+ multi-year enterprise IT transformation and managed-services…
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RF Communications Engineer
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The Lead RF Communications Engineer will support the Leidos Space Platforms Portfolio in the development of a lunar terrain vehicle system and support equipment, primarily responsible for…
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Data Scientist
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…McLean, VA. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence…
Added 7 mins ago
Project Superintendent- Electrical
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…complex projects in the industries we serve. Through MasTec’s network of more than 22,000 professionals and subject matter experts in Engineering, Procurement, and Construction across over…
Added 8 mins ago
Electrical EIT/Designer
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Added 8 mins ago
ICT/Security Specialist
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Strong general engineering knowledge of either the telecommunication (Horizontal/Backbone cabling) or electronic security systems (access control, video surveillance, intrusion detection…
Added 8 mins ago
Information System Security Officer
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…critical networks and data. You will conduct risk assessments, support accreditation activities, evaluate system security controls, and help enforce policies, configurations, and user…
Added 9 mins ago
SOFTWARE INTEGRATION ENGINEER - Linux/Scripting/Kubernetes - 10+ yrs of Experience - TS/SCI w/Poly clearance is required - ID - 544
Halogen Engineering Group, Inc
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Added 9 mins ago
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SOSi

Machine Learning Engineer - Mid

Huntsville, AL, United States

$79,679 to $165,488 USD / year

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Job details

Pay: $79,679 to $165,488 USD / year
Experience: 3–5 years of relevant experience in machine learning engineering, software development, or applied data science.
Posting language: English
Posted: Nov 5, 2026

Original job description

Company Description Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics.

Job Description

SOSi is seeking a Mid-Level Machine Learning Engineer to support the development, integration, and deployment of machine learning capabilities for a government customer in Huntsville, Alabama. The selected candidate will contribute to an MLOps environment supporting national security missions and large-scale analytical workloads. The position focuses on transforming machine learning prototypes into reliable, maintainable, and production-ready capabilities. The ideal candidate has practical experience developing machine learning models, writing production-quality Python, and integrating models into established software systems. Candidates should understand the full machine learning lifecycle, including data preparation, experimentation, evaluation, deployment, monitoring, and continuous improvement. The engineer will work alongside data scientists, data engineers, and software developers in an Agile environment to deliver solutions aligned with mission requirements. The team works with technologies including Python, PyTorch, scikit-learn, MLflow, PostgreSQL, Docker, Linux, GitLab, Jupyter Notebooks, and supporting MLOps infrastructure. Essential Job Duties Machine Learning Development

Develop, train, evaluate, and improve machine learning models for operational applications.
Apply supervised and unsupervised learning techniques to structured and unstructured datasets.
Perform feature engineering, data preprocessing, and dataset validation.
Select appropriate algorithms and evaluation metrics based on project requirements.
Conduct experiments, compare model performance, and document technical findings.
Identify and address model performance issues, including overfitting, data leakage, and prediction errors.

Production ML Engineering

Convert research prototypes and notebooks into maintainable Python modules and services.
Integrate trained models into existing applications, APIs, and processing workflows.
Package and deploy model inference services using containerized environments.
Implement consistent model loading, configuration management, and error handling.
Support model versioning, experiment tracking, and reproducible deployments.
Investigate and resolve model inference, integration, and performance issues.
Contribute to automated model validation and deployment workflows.

Software Development and Quality Assurance

Write clean, modular, testable, and maintainable Python code.
Develop unit tests for preprocessing, feature engineering, and model-related functionality.
Develop integration tests validating model interactions with dependent systems.
Implement smoke tests confirming deployed services operate as expected.
Participate in peer code reviews and address identified defects.
Use Git-based development workflows and established CI/CD practices.
Maintain technical documentation covering implementation, testing, and operational procedures.

Data Integration and MLOps

Collaborate with data engineers to establish reliable training and inference datasets.
Implement validation checks for dataset quality, schema consistency, and missing values.
Work with PostgreSQL and other approved data sources.
Use MLflow or comparable tools to manage experiments and model artifacts.
Support model registry workflows, version promotion, and rollback procedures.
Monitor model behavior, resource utilization, and inference performance.
Identify data drift, performance degradation, and operational anomalies.
Support reproducible model training and deployment processes.

Collaboration and Delivery

Complete assigned development tasks within agreed sprint objectives.
Communicate implementation progress, technical blockers, and delivery risks.
Provide realistic estimates for assigned engineering efforts.
Coordinate interface requirements with data engineering and software development teams.
Follow established architecture, coding, testing, and documentation standards.
Identify proposed scope changes before implementing unapproved functionality.
Participate in technical discussions, planning sessions, and code reviews.

Qualifications

Minimum Requirements

Active Top Secret clearance with SCI eligibility.
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related quantitative discipline.
3–5 years of relevant experience in machine learning engineering, software development, or applied data science.
Proficiency in Python and common machine learning libraries.
Practical experience training, evaluating, and deploying machine learning models.
Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
Experience using SQL and relational databases.
Working knowledge of Linux development environments and command-line tools.
Experience with Git, collaborative development, and pull request workflows.
Familiarity with Docker and containerized application deployment.
Understanding of automated testing, including unit and integration testing.
Knowledge of REST APIs and integration between software components.
Understanding of CI/CD principles and Agile development methodologies.
Ability to independently implement, troubleshoot, and deliver assigned engineering tasks.

Preferred Qualifications

Experience deploying and maintaining machine learning models in production.
Experience with MLflow or similar experiment tracking and model registry platforms.
Familiarity with Triton Inference Server or comparable inference serving platforms.
Experience developing computer vision, NLP, classification, or anomaly detection solutions.
Experience integrating machine learning models into ETL/ELT pipelines.
Familiarity with Apache Airflow or similar workflow orchestration tools.
Experience with PostgreSQL, large-scale datasets, or distributed processing.
Understanding of model monitoring, data drift, reproducibility, and rollback strategies.
Familiarity with GitLab CI/CD, automated validation, and container registries.
Experience developing solutions in restricted, offline, or on-premises computing environments.
Experience supporting DoD or Intelligence Community missions.
Exposure to high-performance computing and multi-INT analytical workloads.

Additional Information Work Environment

Office-based position in Huntsville, Alabama.
Collaboration with multidisciplinary engineering and government stakeholder teams.
Work involving mission-sensitive data and secure computing environments.
Occasional remote work or travel may be available based on program requirements.

Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

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