Associate Data Scientist bei Boeing

Boeing is the world’s largest aerospace company and a leading provider of commercial airplanes, defense, space, and security systems, and global services. Building on a legacy of over a century of innovation and leadership, Boeing continues to lead the way in technology and innovation, customer delivery, and investment in its people and future growth of aerospace. 
In India, Boeing has been a strong partner to the Indian aerospace and defense sectors for more than 80 years. People at Boeing have been supporting mission readiness and modernization of India’s defense forces, and enabling connected, safer, and smarter flying experiences, in the sky, in the seas, and in space. 

Technology for today and tomorrow

The Boeing India Engineering & Technology Center (BIETC) in India is leveraging a diverse talented pool of  5,500+ engineers, technologists, and innovators to drive growth and innovation in the global aerospace sector These engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets in traditional and emerging areas, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, to enhance quality, safety, and productivity for airline customers, shaping the future of aerospace in India for India, and the world.

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 diverse 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. 

At Boeing, we are inclusive, diverse, and transformative.

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.

Job Title: Associate Data Scientist

Position Responsibilities

•    Design, develop, and deploy machine learning and deep learning models for a variety of business use cases.
•    Design and develop NLP and generative AI models using architectures like transformers, GPT, BERT, etc. 

•    Fine-tune, prompt-engineer, or distill pre-trained LLMs for domain-specific tasks (e.g., summarization, Q&A, classification).
•    Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions.
•    Implement and maintain data pipelines for model training, evaluation, and deployment.
•    Integrate external and internal data sources, including unstructured data, into knowledge graphs and vector databases like (ChromaDB, FAISS, Neo4j).
•    Evaluate and select appropriate frameworks and tools for AI/ML projects (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).
•    Monitor model performance and retrain models as necessary to ensure accuracy and relevance.
•    Document processes, models, and code to ensure reproducibility and knowledge sharing.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications

•    Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
•    Proficiency in Python and basic understanding of data science libraries (e.g., NumPy, pandas, scikit-learn).
•    Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
•    Basic experience with at least one generative AI framework (e.g., Hugging Face Transformers, LangChain, LangGraph).
•    Strong understanding of machine learning algorithms, model evaluation, and deployment best practices.
6.•    Knowledge of cloud platforms (OpenShift , Kubernetes , Docker) for model training and deployment.
•    Excellent problem-solving, communication, and collaboration skills.