Senior Algorithm/AI Engineer

Elbit Systems of America

. Design, develop, and optimize machine learning, deep learning, and traditional algorithms for business-critical applications .

Posted 11/4/2026full-timeRemote • New Hampshire • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and optimizing machine learning and AI solutions, with a strong foundation in algorithm development and data engineering. Proven ability to mentor teams, communicate complex concepts effectively, and ensure compliance with regulatory standards.

Highest-signal resume keywords

Machine Learning Algorithm DevelopmentPython ProgrammingTensorFlow ProficiencyData Pipeline ManagementProject Management Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningDeep LearningAlgorithm DevelopmentStatisticsMathematicsFeature EngineeringModel ValidationData Quality ProcessesAI/ML Solution DeliveryCritical Thinking

Soft Skills

Effective CommunicationCollaboration SkillsMentoringAnalytical MindsetOrganizational Skills

Tools & Technologies

TensorFlowPyTorchScikit-learnAWSAzureGCPMLOps Practices

Industry Keywords

AI EngineeringInformation TechnologyMedia SectorRegulatory ComplianceEthical Standards

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaPythonPyTorchScikit-LearnTensorflowC++

About the role

Key responsibilities & impact

Design, develop, and optimize machine learning, deep learning, and traditional algorithms for business-critical applications
Evaluate and integrate emerging AI/ML techniques
Mentor junior engineers and provide technical guidance and best practices across teams
Participate in code reviews and knowledge sharing
Collaborate with data engineering, product, and business stakeholders to translate requirements into scalable AI solutions
Oversee data preparation, feature engineering, and data quality processes
Establish and execute testing, validation, and monitoring protocols for model accuracy, fairness, and compliance
Maintain technical documentation and ensure adherence to regulatory and ethical standards, including explainability and bias mitigation
Identify opportunities to streamline workflows, automate processes, and enhance system performance

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred)
4+ years of professional experience in algorithm development, machine learning, or AI engineering
Proven track record of delivering successful AI/ML solutions in a production environment
Experience in the technology, information, or media sectors is highly desirable
Advanced programming in Python, R, Java, or C++
Proficiency in ML/AI libraries such as TensorFlow, PyTorch, and scikit-learn
Experience with data pipelines, cloud platforms such as AWS, Azure, and GCP, and MLOps practices
Strong background in statistics, mathematics, and algorithmic problem-solving
Critical thinking and analytical mindset
Effective communication of complex technical concepts to non-technical audiences
Project management and organizational skills
Collaboration and influencing skills across diverse teams