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Lead Specialist, Data Science & Artificial Intelligence II
Job Purpose
Lead and develop end-to-end machine learning and Generative AI solutions, ensuring architectural integrity, technical excellence, and business alignment while mentoring team members and driving successful delivery.
Key Accountabilities
Lead and actively develop ML, deep learning, and Generative AI solutions.
Design and implement LLM-based applications including RAG pipelines and embeddings strategies.
Own solution architecture from problem framing to production deployment.
Establish MLOps and LLMOps practices for deployment, monitoring, and retraining.
Define evaluation standards, guardrails, and AI safety controls.
Mentor team members and drive cross-functional collaboration.
Ensure compliance with data governance and responsible AI standards.
Minimum Qualification, Experience and Competencies
- Minimum Qualification
Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field
Minimum Experience
7–9 years of experience in data science and AI, including leading end-to-end ML and Generative AI initiatives.
Skills:
Advanced ML & deep learning
LLM architecture design
API orchestration & system integration
AI safety & risk mitigation
Enterprise AI deployment
Cloud AI platforms (Azure, AWS, GCP)
Technical leadership & stakeholder engagement
Solution architecture thinking
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