Experienced AI/ML Engineer for Predictive Maintenance in Aerospace

Role Overview:

As an Experienced AI/ML Engineer specializing in Predictive Maintenance at Boeing India Engineering & Technology Center (BIETC), you will be responsible for designing and implementing advanced AI/ML solutions to enhance Airplane Prognostics & Health Management (PHM) capabilities. Your primary focus will be on applying AI techniques to Predictive Maintenance and health monitoring of aircraft systems and subsystems.

Key Responsibilities:

• Analyze requirements and historical operational data from aircraft fleets to design and prototype innovative solutions for diagnostic and prognostic needs of aircraft sub-systems.
• Apply Advanced Prognostics & Health Monitoring techniques to assess the state of health and monitor component failures for aircraft systems & subsystems.
• Develop algorithms to estimate Remaining Useful Life (RUL) and identify early-stage degradation patterns.
• Implement anomaly detection, fault isolation, and health prediction using advanced approaches in high-level software such as Python, Matlab/Simulink.
• Support project leads in building and productionizing ML models with modern stacks like TensorFlow, PyTorch, and MLOps practices.
• Design scalable architectures and storage solutions to support fleet-scale telemetry and real-time analytics.
• Create explainable visualizations and dashboards highlighting KPIs, model outputs, and uncertainty for stakeholders.
• Enforce data governance, security, and compliance while ensuring AI testing, verification & validation.
• Collaborate with cross-functional teams and customers to translate technical work into product and after-sales value.
• Produce technical documentation, progress reports, and deployment playbooks while tracking milestones and performance.

Qualifications Required:

• Bachelors degree in engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, or related fields.
• Demonstrated experience in data analytics, machine learning, and Artificial Intelligence models.
• Proficiency in Python, Pandas, Numpy, Scikit-Learn, and deep learning frameworks like TensorFlow and PyTorch.
• Strong understanding of classical machine learning algorithms, SQL, and nosql databases.
• Preferred qualifications include specialization in Data Science, AI/ML, experience in Predictive Maintenance, NLP skills, and familiarity with MATLAB/Simulink.
• Excellent presentation and communication skills, self-motivated, and willing to work flexible hours.

Note: The employer will not sponsor applicants for employment visa status. Role Overview:

As an Experienced AI/ML Engineer specializing in Predictive Maintenance at Boeing India Engineering & Technology Center (BIETC), you will be responsible for designing and implementing advanced AI/ML solutions to enhance Airplane Prognostics & Health Management (PHM) capabilities. Your primary focus will be on applying AI techniques to Predictive Maintenance and health monitoring of aircraft systems and subsystems.

Key Responsibilities:

• Analyze requirements and historical operational data from aircraft fleets to design and prototype innovative solutions for diagnostic and prognostic needs of aircraft sub-systems.
• Apply Advanced Prognostics & Health Monitoring techniques to assess the state of health and monitor component failures for aircraft systems & subsystems.
• Develop algorithms to estimate Remaining Useful Life (RUL) and identify early-stage degradation patterns.
• Implement anomaly detection, fault isolation, and health prediction using advanced approaches in high-level software such as Python, Matlab/Simulink.
• Support project leads in building and productionizing ML models with modern stacks like TensorFlow, PyTorch, and MLOps practices.
• Design scalable architectures and storage solutions to support fleet-scale telemetry and real-time analytics.
• Create explainable visualizations and dashboards highlighting KPIs, model outputs, and uncertainty for stakeholders.
• Enforce data governance, security, and compliance while ensuring AI testing, verification & validation.
• Collaborate with cross-functional teams and customers to translate technical work into product and after-sales value.
• Produce technical documentation, progress reports, and deployment playbooks while tracking milestones and performance.

Qualifications Required:

• Bachelors degree in engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, or related fields.
• Demonstrated experience in data analytics, machine learning, and Artificial Intelligence models.
• Proficiency in Python, Pandas, Numpy, Scikit-Learn, and deep learning frameworks like TensorFlow and PyTorch.
• Strong understanding of classical machine learning algorithms, SQL, and nosql databases.
• Preferred qualifications include specialization in Data Science, AI/ML, experience in Predictive Maintenance, NLP skills, and familiarity with MATLAB/Simulink.
• Excellent presentation and communication skil