Senior Software Engineer
at SAIC
Reston, VA 20190, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 05 Jul, 2024 | Not Specified | 05 Apr, 2024 | N/A | Python,Machine Learning,Communication Skills,Feature Selection,Statistics,Experimental Design,Transformation,Internships,Unsupervised Learning,Programming Languages,Data Science,Coding Practices | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Job ID: 2404959
Location: RESTON, VA, US
Date Posted: 2024-04-04
Category: Software
Subcategory: SW Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
Company Overview: SAIC is a premier technology integrator solving our nation’s most complex modernization and readiness challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration, enterprise IT, cyber security, AI/ML, and data analytics.
QUALIFICATIONS:
- Must be a US Citizen.
- Bachelor’s and five or more years of related experience.
- Strong foundation in machine learning concepts and techniques, including supervised and unsupervised learning, feature selection, and model evaluation.
- Proficiency in programming languages such as Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with data preprocessing, cleaning, and transformation techniques to handle real-world data challenges.
- Basic understanding of statistics and experimental design for evaluating model performance and making data-driven decisions.
- Exposure to version control systems (e.g., Git) and collaborative coding practices.
- Strong problem-solving skills and the ability to work effectively in a team-oriented, fast-paced environment.
- Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
- Previous coursework, projects, or internships in machine learning or data science is a plus.
- Any experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is advantageous.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site
Responsibilities:
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that leverage machine learning and data science techniques.
- Assist in the development and deployment of machine learning models, algorithms, and data pipelines to solve complex problems and optimize processes.
- Conduct data preprocessing, feature engineering, and exploratory data analysis to enhance model performance and insights.
- Participate in designing and implementing experiments to evaluate model performance and iterate on improvements.
- Assist in the integration of machine learning solutions into production systems, ensuring scalability, robustness, and reliability.
- Stay up-to-date with the latest advancements in machine learning, artificial intelligence, and data science to propose innovative ideas and techniques for improving existing systems.
- Contribute to documentation, knowledge sharing, and training to ensure the transfer of technical knowledge within the team
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Reston, VA 20190, USA