Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer and metro location increase applicant density, but role is senior and specialized reducing intensity.
Requires strong ML expertise plus familiarity with market operations/financial services, making cross-industry fit moderate.
Senior ML leadership, production MLOps expertise, and finance domain expectations make screening highly stringent.
Lead design, development, and delivery of advanced AI/ML models and solutions to enhance Market Operations.
Manage and mentor a team of AI/ML data scientists, ensuring agile practices and measurable outcomes.
Partner with engineering and business stakeholders to deploy scalable AI/ML architectures and drive execution excellence.
MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.
Proven experience building and deploying AI applications in large-scale production environments with MLOps expertise.
Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn.
Experience managing data science teams; Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Experienced leader capable of managing cross-functional teams and driving AI/ML strategy within complex market operations environments.
Strong technical expertise in scalable AI/ML infrastructure and production-grade model deployment.
Background or familiarity with financial services, especially investment banking operations, is a preferred advantage.