Description & Requirements
Become an integral part of a diverse team while working at an Industry Leading Organization, where our employees come first. At ManTech, you’ll help protect our national security while working on innovative projects that offer opportunities for advancement.
Currently, ManTech is seeking a motivated, career and client-oriented Software Engineer - ML Specialization to join our team in Herndon, VA. This is a Hybrid position.
Responsibilities include but are not limited to:
Develop, implement, and maintain 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.
Work on the development and deployment of APIs and microservices to support machine learning models and data pipelines.
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 problems consisting of various qualitative activities that support the generation of insightful, human-centered and impactful design solutions.
Perform knowledge elicitation from client of business problem details and incorporate that knowledge into algorithms, models, and approaches in client solutions.
Identify AI and data science challenges in non-AI projects to enhance the projects’ capabilities.
Translate machine learning application related technical requirements to agile tasks prioritized according to the goals and requirements of the client.
Perform solution development through whiteboarding sessions with clients, partners, and coworkers.
Contribute to solutions with software engineering and algorithms using and integrating machine learning, or other technical challenges related to machine learning and AI application development.
Communicate findings to diverse technical and non-technical stakeholders and engage client to distill complex technical language.
Basic Qualifications:
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
Preferred Qualifications:
Having an existing DHS or TS/SCI security clearance is highly desirable
Physical Requirements:
Must be able to be in a stationary position more than 50% of the time
Must be able to communicate, converse, and exchange information with peers and senior personnel
Constantly operates a computer and other office productivity machinery, such as a computer
The person in this position frequently communicates with co-workers, management and clients, which may involve delivering presentations. Must be able to exchange accurate information in these situations
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.