Machine Learning Defense Jobs in Buffalo, NY (NOW HIRING)

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.

Job Title: AI Systems Analyst

Reporting To: Applications & Data Manager – Commercial Aircraft Group

Work Schedule: Hybrid – Buffalo, NY

Moog, Inc. is a global leader in high-performance motion control systems, designing and manufacturing advanced solutions that support aerospace, defense, industrial, and medical applications worldwide. Our Commercial Aircraft Group (CAG) in East Aurora, NY is seeking an AI Systems Analyst to join a collaborative and technically driven team.

• Development and configuration of end-user applications, systems, databases, or websites that are integrated with AI technology.
• Analyze current business processes and identify opportunities for AI integration and automation.
• Evaluate and select appropriate AI technologies and tools based on project requirements.
• Collaborate with cross-functional teams to design AI systems that align with business goals.
• Monitor AI system performance and recommend improvements or optimizations.
• Develop and maintain documentation related to AI system specifications, configurations, and best practices.
• Stay updated with the latest trends and advancements in AI and machine learning.

• Bachelor's in Computer Science, Software Engineering, or other relevant degree is required.
• 3–5+ years of experience in application and analytics development.
• Experience in AI system analysis, design, or implementation.
• Strong understanding of AI technologies including machine learning, natural language processing, and virtual agents.
• Understanding of data governance, security, and responsible AI principles is preferred.
• Proficiency in programming languages including C#, Python, and SQL.
• Experience working with data integration, structured and unstructured data sources, and enterprise systems.
• Working experience/knowledge of Apache Spark (PySpark or Scala), Python + PySpark, SQL-first, PowerBI, MLFlow, ETL jobs, and cloud storage (AWS), a plus.
• Strong communication and collaboration abilities.
• Ability to translate complex technical concepts for non-technical stakeholders.
• Experience working in an Agile Development environment is a plus.
• A continuous learning mindset and interest in advancing AI capabilities within the business.

• Compensation package, bonus opportunities, matching 401(k), and Employee Stock Purchase Plan (select locations).
• Flexible Spending and Health Savings Accounts.
• Flexible paid time off, holidays and parental leave program, relocation assistance.
• Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan ("EAP") and other supplemental benefit coverages.
• Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs.
• Warm, respectful, family-like environment driven by our 12 core values. Multiple Employee Resource Groups led by our employees, open and welcoming to all.

This position requires access to U.S. export-controlled information and the ability to obtain a U.S. security clearance.

Salary Range Transparency: Buffalo, NY $85,000.00–$110,000.00 Annually. The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. Other rewards, such as annual bonuses, employee stock purchase plan and open paid time off, are also part of the total compensation package.

Moog is an Equal Opportunity Employer. We affirm the right of every person to participate in all aspects of employment regardless of race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information or any other protected characteristic.