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Staff Algorithm/AI Engineer
Elbit Systems of America. Design, develop, and implement scalable machine learning and AI algorithms for business-critical applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in designing and implementing scalable machine learning and AI algorithms, with a strong focus on delivering production-grade solutions and ensuring compliance with ethical standards. Proven ability to lead cross-functional teams, mentor engineers, and align AI initiatives with business objectives.
Highest-signal resume keywords
Machine Learning Model DevelopmentAI Algorithm ImplementationTechnical LeadershipCross-Functional CollaborationAI/ML Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningArtificial IntelligenceModel EvaluationAlgorithm DesignData ScienceStatistical AnalysisProgrammingModel MonitoringCode Quality StandardsReproducibility
Soft Skills
MentorshipCommunicationInfluencing StakeholdersAdaptabilityThought Leadership
Industry Keywords
AI/ML GovernanceEthical AI PracticesBusiness AlignmentTechnical DirectionInnovation
About the role
Key responsibilities & impact- Design, develop, and implement scalable machine learning and AI algorithms for business-critical applications
- Lead complex, cross-team AI/ML projects, driving technical direction, best practices, and innovation
- Stay abreast of the latest advancements in AI/ML and translate research into practical, deployable solutions
- Work closely with product managers, data scientists, engineers, and business stakeholders to align AI solutions with organizational goals
- Provide technical guidance, coaching, and mentorship to less experienced engineers and data scientists
- Oversee the evaluation, validation, and monitoring of machine learning models, ensuring accuracy, fairness, and compliance
- Set and enforce high standards for code quality, model documentation, and reproducibility
- Contribute to the establishment and enforcement of AI/ML governance frameworks, ensuring responsible and ethical AI practices
- Identify opportunities to optimize existing models and processes, driving efficiency and performance improvements
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or related field; PhD preferred
- 8+ years of experience in AI/ML engineering or related technical roles
- Proven track record of delivering production-grade machine learning models and AI solutions
- Recognized authority in AI/ML; drives innovation and sets technical direction
- Builds strong cross-functional relationships and influences stakeholders and project outcomes
- Demonstrates thought leadership and mentors others
- Understands business drivers and aligns technical solutions with strategic objectives
- Embraces change, drives continuous learning, and adapts to evolving technologies
- Articulates complex technical topics clearly and tailors communication to diverse audiences
- Upholds high ethical standards and champions responsible AI practices