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
For roles outside USA:
Bachelor of Science in Engineering Physics Chemistry Mathematics Computer Science or equivalent technical discipline.
AI/ML Experience
8 yearsof hands-on experience 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 yearsas 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.
This Job Description is intended to provide a high level guide to the role. However it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.
Relocation Assistance Provided: Yes
Required Experience:
Staff IC
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