
AI Expert
1 day ago
Lead Data Scientist - Large Scale AI
We are seeking a highly skilled and experienced Lead Data Scientist to join our team. As a Senior Engineer in our IT Machine Learning department, you will be responsible for designing, developing, and implementing large-scale machine learning applications in hosted production environments.
Key Responsibilities:
- Maintain and enhance existing enterprise services, applications, and platforms using domain-driven design and test-driven development.
- Troubleshoot and debug complex issues; identify and implement solutions.
- Create detailed project specifications, requirements, and estimates.
- Research and implement new AI technologies to enhance current processes, security, and performance.
- Work closely with data scientists and product teams to build and deploy AI solutions, focusing on the technical aspects of AI deployment & associated resources.
- Implement and optimize Python-based ML pipelines for data preprocessing, model training, and deployment.
- Monitor model performance and implement strategies for bias mitigation and explainability. Responsible for ensuring models are scalable and efficient in production environments.
- Write and maintain code for model training and deployment, collaborating with software engineers to integrate models into applications.
Requirements:
- Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS / MIS), Engineering or related technical discipline, or equivalent experience/training.
- 3+ years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications in hosted production environments.
- Proficiency and demonstrated experience in the following technologies: Python, Databricks, Azure AI Foundry services, Database and persistence frameworks, Cloud-based development, Web Servers, Web Services, AI/ML Frameworks, MLOps Tools, Build/deployment tools, Other DevOps Toolchain.
- Strong understanding of GEN AI & NLP concepts, including LLMs , tokenization, embeddings, transformers, and attention mechanisms.
- Experience developing and implementing generative-based AI solutions using Large-Language Models (LLMs).
Nice to Have:
- Master's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
- 5 years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications.
- Airline Industry experience.
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