Software Engineer

3 days ago

Herndon, Virginia, United States ManTech Full time
Secure Our Nation, Ignite Your Future

At ManTech, we're committed to protecting our nation's security while empowering our employees to grow and thrive. As a Software Engineer - Machine Learning Specialization, you'll be part of a diverse team working on innovative projects that drive real-world impact.

Key Responsibilities:
  • Develop and implement software solutions for machine learning applications, focusing on real-time video analytics.
  • Collaborate with data scientists and ML engineers to integrate machine learning models into production software systems.
  • Optimize software for performance and scalability, ensuring efficient processing of large-scale video data.
  • Design and implement user-friendly front-end interfaces for data visualization and interaction with ML models.
  • Participate in code reviews, testing, and debugging to maintain high-quality software standards.
  • Implement and maintain CI/CD pipelines to streamline the development and deployment process.
  • Stay current with advancements in machine learning and software engineering, incorporating best practices into the development process.
  • Apply design thinking or other solution-based methods to solve complex problems.
  • Translate machine learning application-related technical requirements into agile tasks.
  • Contribute to solutions with software engineering and algorithms using and integrating machine learning.
Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, and 3+ years of experience in software development OR a Master's degree and 1+ years of experience.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with software development frameworks and tools (e.g., TensorFlow, PyTorch, Flask, Docker).
  • Strong understanding of software engineering principles, including design patterns, data structures, and algorithms.
  • Experience with cloud platforms, particularly Google Cloud Platform (GCP), for deploying machine learning models.
  • Knowledge of real-time data processing and video analytics.
  • Experience with front-end development using frameworks like React, Angular, or Vue.js.
  • Experience in implementing and maintaining CI/CD pipelines.
  • Strong oral and written communication skills, including client-facing discussions and presentations.
Preferred Qualifications:
  • Master's degree in Computer Science or related field.
  • Deep knowledge of Google Cloud Platform services such as BigQuery, Vertex AI, and Google Kubernetes Engine, with experience in complex architectures.
  • Advanced experience with machine learning model integration and optimization.
  • Experience with MLOps practices and tools for continuous integration and deployment of ML models.
  • Familiarity with containerization and orchestration tools (e.g., Kubernetes, Docker).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Excellent oral and written communication skills, including communicating information to a senior executive audience.
Clearance Requirements:
  • Must have either an active Secret or higher clearance OR DHS Suitability.
  • Must have ability to obtain TS/SCI with polygraph.

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