Experienced Support Engineering Data Specialist

Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Overview
As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing's team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company's core values of safety, quality and integrity.
Technology for today and tomorrow
The Boeing India Engineering & Technology Center (BIETC) in India is leveraging a talented pool of 5,500+ engineers, technologists, and innovators to drive growth and innovation in the global aerospace sector. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace.
People-driven culture
At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring perspectives and thoughts - enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people's careers and being thoughtful about employee wellbeing.
With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace.
Position Overview:
Boeing Technical Publications team is currently looking for an Experienced Support Engineering Data Specialist to join their team in Chennai, India. This position will focus on supporting the Boeing Global Services (BGS) business organization.
As a Support Engineering Data Specialist, you will enable data-driven support solutions that improve product reliability and customer outcomes across Boeing programs. You will develop, maintain, and deploy Python-based analytics and machine learning pipelines, apply Generative AI and large language models to transform technical content and support workflows, and collaborate closely with engineering, sustainment, and support teams to operationalize insights. Your work will ensure high-quality data ingestion, model performance, and scalable automation that accelerate fault diagnosis, root-cause analysis, and proactive maintenance - all while aligning to security, compliance, and product engineering priorities to deliver a seamless support experience for internal and external stakeholders.
Job Responsibilities:

• Design, develop, and deploy Generative AI applications and NLP-driven solutions tailored to the Boeing eCommerce environment (product search, content personalization, customer support augmentation).
• Develop and implement NLP algorithms for business needs such as semantic search, intent classification, entity extraction, automated product descriptions, and summarization of technical content.
• Apply ML and Gen AI techniques (including RAG, fine-tuning, and prompt engineering) to enable intelligent search, recommendations, chat/assistant capabilities, and content generation while preserving brand voice and regulatory constraints.
• Conduct deep analysis of large eCommerce datasets to uncover insights that improve customer experience, increase conversion, and optimize merchandising.
• Design, develop, and maintain RESTful APIs using Flask and FastAPI.
• Integrate AI-powered solutions with eCommerce systems and collaborate with engineering, product, and marketing teams for smooth deployment.
• Implement model validation, monitoring, observability, and continuous-improvement practices for production models; set up metrics for relevance, latency, accuracy, and business KPIs.
• Utilize Excel to organize, analyze, and visualize data in a meaningful way, presenting findings to stakeholders.
• Data Preprocessing and Cleaning: Ensure the quality and accuracy of large volumes of structured and unstructured data using python.
• Ensure solutions comply with data security, privacy and Boeing governance.
• Produce technical designs, integration patterns, and documentation to support sustainment and knowledge transfer across eCommerce and support teams.
• Partner with UI/UX, content, and merchandising stakeholders to align AI outputs with brand guidelines and ensure an optimal customer journey.

Basic Qualifications (Required Skills/Experience)

• Bachelor's degree is required as basic qualification.
• 8+ years of professional experience developing software or data solutions using Python.
• Hands-on experience with machine learning fundamentals and model development workflows.
• Practical experience developing NLP solutions (semantic search, embeddings, classification, summarization).
• Familiarity with Generative AI / LLMs and applying them to web content, search, or customer support use cases.
• Experience with data processing and pipeline tools (e.g., Pandas, SQL)
• Experience analyzing web and eCommerce data.
• Strong collaboration and communication skills; experience working with product and engineering stakeholders.
• Understanding of enterprise data security, privacy, and compliance requirements relevant to eCommerce environments.

Preferred Qualifications

• Bachelor's degree in Aeronautical, Mechanical, Computer Science, Data Science, Engineering or related field (or equivalent experience).
• 8+ years of experience in applied ML/AI, NLP, or data engineering roles; prior eCommerce experience strongly preferred.
• Production experience deploying ML/AI models at scale
• Experience with cloud ML services and infrastructure (Azure, GCP)
• Hands-on experience with transformer architectures, prompt engineering, fine-tuning LLMs, and RAG/knowledge retrieval pipelines.
• Prior experience in aerospace or mechanical industries is a plus.

Typical Education/Experience:
Education/experience typically acquired through a technical education (e.g., Bachelor/Master) and typically 8+ years of related work experience or an equivalent combination of technical education and experience. (e.g, Master's + 7 Years of experience).
Relocation:
This position offers relocation.
Applications for this position will be accepted until Apr. 25, 2026
Export Control Requirements:
This is not an Export Control position.
Education
Bachelor's Degree or Equivalent Required
Relocation
This position offers relocation based on candidate eligibility.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
Not a Shift Worker (India)
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.