Job Description Summary

The Senior Staff Engineer – AI/ML Projects is a senior technical and project leader responsible for shaping, leading, and delivering AI/ML solutions with local and global teams. This role also requires significant hands-on design, development, and deployment of AI/ML models. You will partner with customer and engineering teams to understand complex mechanical and aerospace problems, translate them into AI/ML use cases, and architect production-grade solutions that improve Safety, Quality, Delivery, and Cost. You will provide technical and team leadership for AI/ML initiatives within engineering design, leading a team of engineers to ensure timely delivery, high quality, and robust technical execution, while growing AI/ML capability through mentoring, best practices, and contribution to innovation and IP.

Job Description

Site Overview

Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.

Roles and Responsibilities:

Project Leadership & Delivery

• Lead end-to-end AI/ML projects from problem framing and scoping through deployment and sustainment

• Coordinate local and global, cross-functional teams to deliver robust, scalable solutions on time and within scope

• Define project plans, milestones, risks, and mitigation strategies, tracking progress and resolving issues

• Directly contribute to hands-on implementation, including building, testing, and deploying models as part of project delivery

Problem Framing & Solution Design

• Partner with aerospace engineering and customer teams to clarify requirements, constraints, and success criteria-

• Translate engineering and business needs into clear AI/ML problem statements, data requirements, and technical approaches

• Architect solutions, selecting appropriate models, methods, tools, and platforms

Technical Leadership & Coaching

• Provide expert guidance on AI/ML methods, including model development, validation, deployment, and monitoring in engineering workflows-

• Solve complex technical challenges and drive root-cause analysis and continuous improvement

• Mentor and coach engineers and data scientists; share lessons learned and best practices

Innovation, IP & Communication

• Foster a culture of innovation, experimentation, and learning within the AI/ML community

• Identify opportunities for differentiation and contribute to IP (e.g., invention disclosures, patents)

• Communicate technical concepts, findings, risks, and recommendations clearly to technical and non-technical stakeholders

Education Qualification

Bachelor of Science in Engineering, Physics, Chemistry, Mathematics, Computer Science, or equivalent technical discipline.

AI/ML Experience

• Total 12+ yrs experience, out of which 8+ years of hands-on experience in developing and deploying AI/ML solutions in engineering design environments (preferably aerospace or related industries)

• Proven experience across the AI/ML lifecycle: data preparation, model development, validation, deployment, and monitoring

Leadership Experience

• 2+ years as a project or technical lead, managing multidisciplinary teams and delivering AI/ML solutions to production

• Demonstrated ability to coordinate across global teams and stakeholders

Technical Skills:Strong background in machine learning and/or deep learning methods relevant to engineering (e.g., predictive modelling, optimization, anomaly detection, surrogate modelling, computer vision, physics-informed ML)
Proficiency with common AI/ML ecosystems (e.g., Python and major ML libraries) and engineering data (simulation, test, sensor, design)
Experience integrating AI/ML into engineering design tools or workflows is a plus

Desired Characteristics

• Strong oral and written communication skills

• Strong interpersonal and leadership skills

• Demonstrated ability to document, plan, market and manage programs that further the knowledge, understanding and capability of the business

• Problem analysis and resolution skills

• Demonstrated leadership in advancing AI/ML methods, along with the ability to teach others and set standard practices for their use in engineering design.

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

Additional Information Relocation Assistance Provided: Yes