VP Software Engineering at GM Financial responsible for technology implementation strategy and leading product teams in Agile environment. Championing technology modernization and driving operational excellence.
About the role
- AI Product Engineer at Seerist, focusing on AI-driven insights for threat intelligence. Collaborating with product and engineering teams to create innovative solutions.
Responsibilities
- Work closely with intelligence and product teams to create, build, and deliver novel, innovative capabilities powered by AI and machine learning
- Apply machine learning, NLP/text analytics, and generative AI to real problems in the threat intelligence domain
- Prototype rapidly, turning half-formed ideas into working demos that sharpen the team's thinking
- Build and maintain production services on AWS, writing clean Python and JavaScript across the stack
- Stay current on emerging AI/ML techniques and proactively surface opportunities relevant to Seerist's domain
- Collaborate closely with product, engineering, and solutions teams to ensure what gets built actually solves customer problems
Requirements
- Bachelor's degree in a relevant field (computer science, data science, mathematics, or similar)
- 3+ years of professional experience in a role combining data science, ML engineering, or AI product development
- Strong foundation in machine learning and data science
- Hands-on experience with generative AI and large language models
- Proficiency in Python for data/ML work and JavaScript for web development
- Experience with text analytics and NLP, classification, extraction, summarization, entity resolution
- Comfortable building and deploying on Amazon Web Services (Lambda, SageMaker, ECS, S3, etc.)
- Exceptional written and verbal communication skills
Benefits
- Competitive salary, bonus plan, 401(k) matching, and long term incentives
- Comprehensive benefits including health, dental, vision, and life plans
- Strong, results-oriented culture
- Remote and office-based work (3+ days in Reston office each week)
- Paid Time Off
- Paid Parental Leave (16 Weeks Primary, 4 Weeks Secondary)
- Tuition Reimbursement
- Professional Development Stipend
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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