Own and manage the day-to-day operation of the Databricks Lakehouse Platform and MLOps services, ensuring high availability, performance, security, and user satisfaction.
Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments
Advise customer technologists and business leaders on the art of the possible with Generative AI, Agentic AI, and Machine Learning, helping them design scalable AI solutions on AWS that deliver measurable business value
Serve as the AML/CFT subject matter expert for Consumer Retail Banking, providing strategic guidance on financial crime risks, regulatory developments, and industry best practices.
Apply AI/ML expertise to build scalable solutions in areas such as Generative AI, personalization, image and speech recognition, NLP, recommendation systems, and time series forecasting.
Provide comprehensive support to compliance operations by executing AML-related tasks, identifying and documenting compliance risks, and implementing solutions in alignment with established policies and procedures.
Support and contribute to AML investigations within Global Consumer Financial Services, assisting in the timely identification and mitigation of money laundering risks.
Provide comprehensive support to compliance operations by executing AML-related tasks, identifying and documenting compliance risks, and implementing solutions in alignment with established policies and procedures.
Provide comprehensive support to compliance operations by executing AML-related tasks, identifying and documenting compliance risks, and implementing solutions in alignment with established policies and procedures.
Design and develop resource scheduling systems for machine learning platforms, supporting model training, evaluation, and inference workloads across domains such as NLP, Computer Vision (CV), and Speech.
Design and implement reusable MLOps/AIOps components for experiment tracking, model registry, workflow orchestration, deployment, monitoring, feedback and retraining.
At Xtremax, we're looking for an ML/AI Engineer to build AI-powered systems that help identify emerging fraud risks and improve fraud detection. You'll work with a Data Science and AI team developing the next generation of fraud analytics capabilities, supporting the detection of misuse of public training subsidies.
At Xtremax, we're looking for a Senior ML/AI Engineer to help build the engineering foundations that make machine learning and AI systems reliable in production. Working across AWS and Databricks, you'll help turn experiments and notebooks into maintainable services, reusable pipelines and operational AI capabilities.
Area A — Scientific ML & PINNs Methodology Origination: Originate and advance PINNs methodology — design physics-constrained loss function architectures, validate digital twin ML components against domain physics (with storage domain expert), and deliver validated prototypes with complete technical documentation to implement. As the sole PINNs methodology originator on the team — this capability cannot be delegated or substituted.
Design and implement reusable MLOps/AIOps components for experiment tracking, model registry, workflow orchestration, deployment, monitoring, feedback and retraining