Senior Algorithm/AI Engineer

Elbit America, Inc. in; Merrimack (NH); On-site; USD 120,000 - 180,000; Full time

Job summary

Elbit Systems of America, LLC in Merrimack, NH is seeking a Senior Algorithm/AI Engineer to design, develop, and optimize advanced AI models for business-critical applications.

You will mentor engineers, collaborate with data engineering, product, and stakeholders, and establish rigorous testing, validation, and monitoring to ensure fairness and regulatory compliance. Proficiency with Python and ML libraries, cloud environments (AWS/Azure/GCP), and MLOps is highly desirable.

Qualifications

• Bachelor’s or Master’s in CS, Engineering, Math; PhD preferred.
• 4+ years in algorithm development, ML, or AI engineering.
• Proven track record delivering AI/ML solutions in production.
• Experience in technology, information, or media sectors is desirable.

Responsibilities

• Lead end-to-end design, implementation, and optimization of ML, DL, and traditional algorithms for business-critical applications.
• Stay current with AI/ML advancements; evaluate and integrate new techniques to stay competitive.
• Mentor junior engineers; provide guidance and best practices; participate in code reviews.
• Collaborate with data engineering, product, and stakeholders to translate requirements into scalable AI solutions.
• Oversee data preparation, feature engineering, and data quality to support model performance.
• Establish testing, validation, and monitoring to ensure accuracy, fairness, and compliance.
• Maintain documentation and ensure adherence to regulatory/ethical standards (explainability, bias mitigation).
• Identify opportunities to streamline workflows and automate processes.

Skills

Critical thinking

Analytical mindset

Communication

Project management

Collaboration

Programming (Python, R, Java, C++)

ML/AI libraries (TensorFlow, PyTorch,)

Data pipelines, cloud platforms, MLOps

Statistics & math

Education

Bachelor's or Master's in CS/Engineering/Math

PhD preferred

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

MLOps

Data pipelines

Job description

Summary of Responsibilities

The Senior Algorithm/AI Engineer is responsible for designing, developing, and optimizing advanced algorithms and AI models to solve complex business challenges. This role drives technical innovation, provides expert guidance to project teams, and ensures alignment with business objectives and ethical standards.

• Lead the end-to-end design, implementation, and optimization of machine learning, deep learning, and traditional algorithms for business-critical applications.
• Stay abreast of AI/ML advancements; evaluate and integrate emerging techniques to maintain competitive advantage.
• Mentor junior engineers; provide technical guidance and best practices across teams; participate in code reviews and knowledge sharing.
• Collaborate with cross-functional teams (data engineering, product, business stakeholders) to translate requirements into scalable AI solutions.
• Oversee data preparation, feature engineering, and data quality processes to support robust model performance.
• Establish and execute rigorous testing, validation, and monitoring protocols to ensure model accuracy, fairness, and compliance.
• Maintain clear, comprehensive technical documentation and ensure adherence to regulatory and ethical standards (e.g., explainability, bias mitigation).
• Identify opportunities to streamline workflows, automate processes, and enhance system performance

Knowledge (Education/License/Certification, Prior Experience)

• 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

Skills and Abilities

• 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
• Advanced programming (Python, R, Java, or C++), with proficiency in ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with data pipelines, cloud platforms (AWS, Azure, GCP), and MLOps practices
• Strong background in statistics, mathematics, and algorithmic problem-solving

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