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Tier-1 employer, metro location, and specialized ML/AI senior role create moderate candidate competition.
Requires specialized ML/AI expertise but skills like LLMs and deployment are transferable across industries.
Explicit 8+ years and specific generative AI, cloud, and deployment requirements enforce strict filtering.
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Design, develop, and deploy machine learning and deep learning models, including NLP and generative AI models, for aerospace applications.
Integrate and manage data pipelines and knowledge bases involving unstructured data and vector databases (e.g., ChromaDB, FAISS, Neo4j).
Collaborate cross-functionally to translate business needs into AI/ML solutions and ensure model performance through monitoring and retraining.
Bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics, Physics, Chemistry, or related field.
Proficiency in Python and familiarity with data science libraries, deep learning frameworks (TensorFlow, PyTorch), and generative AI frameworks (e.g., Hugging Face Transformers).
Experience with cloud platforms like OpenShift, Kubernetes, and Docker for model training and deployment.
Work Experience Required: 8+ years in relevant domain.
Experienced in end-to-end development and deployment of machine learning and NLP models, especially with generative AI and LLM fine-tuning.
Comfortable working with unstructured data integration into advanced databases and knowledge graphs.
Able to collaborate globally with cross-functional teams and work flexible hours to support worldwide stakeholders.