Back
Tier-1 brand, senior ML role with broad LLM/MLOps requirements yields medium competition.
Highly specialized ML/LLM and financial-data experience makes background fit sensitivity high.
Explicit 8–12 years plus mandatory LLM/MLOps, leadership and domain expertise makes screening high.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead end-to-end design, development, and delivery of advanced AI/ML solutions including deep learning, NLP, LLMs, and RAG workflows.
Drive technical strategy and product vision for scalable financial analytics pipelines integrating diverse data and tools.
Collaborate with business stakeholders and technical teams to translate requirements into scalable, production-grade AI solutions with continuous improvement and compliance.
8–12 years of professional experience in data science/AI with ownership of complex projects.
Master’s degree in Statistics, Mathematics, Computer Science, or Engineering specializing in Data Science/AI.
Strong hands-on expertise in Python, ML/DL frameworks, NLP, LLMs, RAG, MLOps/LLMOps, cloud platforms (AWS or Azure), and CI/CD deployment pipelines.
Work Experience Required: 8–12 years in data science/AI domain.
Technically proficient in managing the end-to-end AI/ML lifecycle and scaling solutions in cloud environments with strong MLOps leadership.
Experienced in financial services or investment banking environments, with familiarity in enterprise AI governance and compliance.
Capable of leading cross-functional teams and influencing stakeholders by translating complex technical work into actionable business insights and strategies.