Top AI & Machine Learning Jobs

Lead and execute enterprise AI/ML platform initiatives, managing model lifecycle activities, governance, reporting, and cross-functional delivery. Advise on model optimization, review quantitative model outputs, coordinate stakeholders, and ensure compliance, operational readiness, and platform adoption across hybrid cloud/on‑prem environments.

Validate NLP and Generative AI models across the model lifecycle, including replication, performance assessment, data integrity checks, and documentation. Develop and evaluate validation tools and prototypes, collaborate with regulators and auditors, and produce detailed validation reports ensuring compliance with model risk governance and policies.

Lead design, build, and deployment of intelligent automation solutions combining RPA, workflow platforms, Generative and Agentic AI. Integrate LLMs and agent frameworks with cloud services, lead teams, and manage full automation lifecycle including testing, deployment, CI/CD, and secure coding.

Lead and deliver moderately complex data processing and engineering initiatives. Analyze and resolve technical challenges, optimize AI/ML pipelines, perform statistical/machine learning tasks, collaborate with teams, conduct code reviews, apply cloud, containerization, CI/CD, and Agile practices to implement scalable AI/ML solutions.

Senior engineering role advising leadership and driving enterprise Gen AI strategy and solutions. Lead resolution of complex technical challenges, design long-term AI architectures (LLMs, Spark, agentic frameworks), influence cloud/SaaS implementations, and deliver technology roadmaps across multiple business domains.

Lead design and delivery of agentic and generative AI solutions across Microsoft 365 and OS platforms. Define architecture, engineering standards, and reusable frameworks for Copilot agents, skills, and plug-ins. Build and ship solutions in Copilot Studio and Cowork, ensure grounding over enterprise data via Microsoft Graph, embed responsible AI and governance, drive cross-team technical direction, mentor senior engineers, and resolve the most complex platform integration and delivery challenges.

Lead complex data science initiatives across Consumer Lending, designing advanced statistical models and experiments, interpreting large datasets, advising stakeholders, mentoring staff, ensuring model governance and regulatory compliance, and delivering actionable insights and visualizations to influence senior leadership decisions.

Lead development, validation, and documentation of advanced statistical, econometric, and machine learning models to quantify market, credit, and operational risk. Forecast losses and capital requirements, apply stochastic and simulation techniques, collaborate with auditors/regulators, and provide technical challenges to line-of-business models to reduce model risk and meet regulatory standards.

Operate and maintain AI systems supporting enterprise video services, Wello, and brand & sponsorship platforms. Ensure availability, monitor performance, deploy updates, automate operations, respond to incidents, and collaborate with engineering and product teams to scale and improve platform reliability.

Responsible for building conversational AI experiences using Dialogflow CX, integrating backend systems, conducting QA, and leading teams on AI initiatives.