Location
Annapolis Junction, MD | United States
Job description
Software Engineer Level 3
woodcons.com
Seeking a Java & Python Software Engineer 3 with Machine Learning (ML) & Artificial Intelligence (AI) experience. The ideal candidate will be responsible for designing and developing robust software solutions using Java and Python, while leveraging ML and AI techniques to enhance cyber defense and cyber intelligence solutions. This role requires a deep understanding of both programming languages, as well as experience in implementing ML/AI algorithms and frameworks. You will be part of a talented software team focused on developing solutions to innovate mission-critical systems and applications. Those interested in this position should be comfortable with change and learning new technologies, as this opportunity is focused on finding innovative solutions to our customer’s toughest challenges. The team will also address additional challenges related to provisioning of infrastructure and cloud migration within a hybrid, multi-cloud environment (e.g., VMware, AWS & Azure), Cyber Threat Intelligence, DevOps, and Containerization & Orchestration. If you are a software engineer with experience in both Java and Python, have experience in ML and AI, and are interested in solving new challenges, we certainly would like to have you as a part of our team.
Security Clearance Requirements:
This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.
- Analyzing, designing, developing, testing deploying, and maintaining Java & Python based innovative solutions to address emerging mission challenges, using industry best practices and frameworks.
- Design and develop ML and AI algorithms and integrate those ML and AI algorithms into systems to solve emerging mission critical problems.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Conduct research and experiments to identify and evaluate the most suitable ML/AI techniques for specific use cases.
- Optimize performance and efficiency of ML/AI models through continuous testing and refinement.
- Stay up to date with the latest advancements in ML/AI technologies and best practices. Researching new technologies, understanding emerging challenges to mission critical solutions and quick reaction problem identification & resolution.
- Document experiment results, prototype software solutions and ensuring that all technical documentation (i.e. configuration guides, install guides) meets requirements.
- Collaborating with other team members and stakeholders to jointly solve problems and find solutions as a team.
- Comfortable working in an Agile development environment.
Required Education & Years of Experience
- Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.
- Four (4) years of additional SWE experience may be substituted for a bachelor’s degree.
- Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
- A Master's Degree in Computer Science, Engineering, Mathematics, or a related discipline may be substituted for an additional two (2) years of general experience.
Required Skills
- Strong software development skills with Java, Python, Object Oriented Programming concepts and patterns.
- Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar.
- Solid understanding of data structures, algorithms, and computational complexity.
- Excellent problem-solving and analytical skills, with a keen attention to detail.
- Ability to work independently as well as collaborate effectively within a team environment.
- Experience in the full SDLC (Software Development Life Cycle) that includes Requirements Analysis, Design, Coding, Testing, Implementation, Maintenance with the Agile Methodology
Desired Skills
- Good understanding of software project management tools (GitLab, Jenkins, Maven, Jira, Confluence)
- Previous experience in developing and deploying ML/AI models in real-world applications.
- Knowledge of distributed computing frameworks such as Apache Spark or Hadoop.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity with containerization technologies such as Docker and Kubernetes.
- Contributions to open-source projects or active participation in the developer community.
WOOD Consulting Services, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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