2 дня назад
Senior Software Engineer (AI/ML)
150 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI/ML): Developing compliance and business-processing analytics, automated compliance functions, and machine-learning proof-of-concepts with an accent on model development, feature engineering, and monitoring. Focus on integrating and testing AI algorithms, implementing metrics for data flows and tools, and building Random Forest-based solutions in a national security environment.
Location: Laurel, Maryland, United States. Telework may be possible for up to two days per week when tasking becomes available, but it is not guaranteed.
Salary: $150,000–$200,000 USD per year
Company
delivers mission and technical expertise for national security, technology, and defense challenges.
What you will do
- Develop, enhance, and prototype compliance and business-processing analytics and tools.
- Automate compliance functions and improve existing automation methods.
- Investigate, integrate, and test machine-learning and AI algorithms and research proof-of-concepts.
- Build models and implement metrics and monitoring for tools, functions, and data flows.
- Document solutions and review technical documentation.
Requirements
- Active TS/SCI clearance with Polygraph applicable to the customer.
- 14–20 years of software engineering experience on programs and contracts of similar scope, type, and complexity.
- Bachelor’s degree in Computer Science or a related discipline; four additional years of software engineering experience may substitute for the degree.
- Experience with Python, Java, Scala, Linux, SQL, JSON, Lucene, JEXL, GM Learn, Jira, and Confluence.
- Experience with exploratory data analysis, Random Forest feature development, machine-learning model building and monitoring, Scikit-learn, Ghostmachine Map/Reduce, and Jupyter Notebooks.
- Experience with Agency compliance standards, policies, authorities, corporate systems, and documentation.
Nice to have
- Data science background and experience implementing machine-learning systems.
- Experience with AWS and Spark.
- Experience with Agentic AI, large language models, machine-learning feature development, and other machine-learning techniques.
Culture & Benefits
- Medical, dental, and vision coverage.
- Health Savings Account with a company contribution.
- Paid time off, paid holidays, and paid parental leave.
- 401(k) with a company match.
- Training and development opportunities, award programs, and company-sponsored events.
- Focus on work-life balance and professional growth.
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