Back
Tier-1 brand, metro locations, senior ML role and broad skillset create high applicant competition.
Advanced ML/GenAI skills transferable, but financial services experience increases domain specificity.
Explicit 10+ years, VP seniority, and many mandatory ML, cloud, and finance requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and development of AI/ML solutions using microservices and distributed architectures.
Oversee cloud-native architecture and deployment of AI/ML models at scale in financial services environment.
Drive integration of end-to-end data pipelines, machine learning frameworks, and multi-agent systems for production-grade applications.
10+ years in microservices, RESTful APIs, distributed architectures.
Strong experience with AI/ML development including Python, FastAPI, PyTorch, TensorFlow, and related AI frameworks.
Experience with cloud platforms (AWS, Azure, GCP) and cloud-native architecture.
Experience in large-scale financial services enterprise environments.
Proven ability to lead enterprise-scale agile delivery, preferably with SAFe framework.
Expertise combining AI/ML technical depth with data engineering and cloud orchestration.
Experience working in multidisciplinary teams integrating front-end (React/Angular) and DevOps practices in regulated industries.