Top AI & Machine Learning Jobs

Contribute to machine learning model design, training, and evaluation for fraud detection. Communicate findings, develop metrics, and support production ML workflows while ensuring compliance and model governance.

Build and ship end-to-end ML/AI systems (traditional ML, NLP, LLMs/AI agents) on transaction, merchant, and location data. Prototype, productionize, and monitor models, collaborate with engineering and product, and (for senior hires) shape roadmap and mentor teammates.

As a Senior AI Engineer at Octus, you'll design and implement AI systems, build LLM-driven applications, optimize architectures, and ensure production reliability at scale, while collaborating cross-functionally to deliver effective solutions.

As a Staff Data Scientist, you will lead complex marketplace problem-solving, architect ML systems, mentor teams, and drive data science strategy in partnership with engineering and product management.

Lead design and build of an AWS-only AI Operations platform: hosting, IaC, registries (Accountability, Agent, Tool), identity/authorization patterns, developer DX, observability, and security hooks for agentic systems. Evangelize internally and partner on compliance and security integrations.

Build and deploy production-scale AI/LLM systems: own ML lifecycle from model development to serving, optimize GPU/Kubernetes deployments, design LLM applications and APIs with monitoring, apply CI/CD and version tracking, collaborate with product teams, and contribute to AI engineering best practices.

Lead the AI research agenda at Kepler, focusing on trustworthy AI for enterprise decisions. Oversee research on agentic systems and evaluation frameworks, and manage a research team. Ensure production deployment of innovative AI solutions based on real financial data.

Build, tune, and QA conversational AI agents on the Regal platform: design prompts and flows, tune STT/LLM/TTS settings, create custom functions, test agents, codify best practices, and provide product feedback and sales demos.

Design and maintain data pipelines and BI infrastructure, ensure data quality, optimize SQL and transformations, build and validate predictive and ML models, support deployment and BI integration, and collaborate with stakeholders to deliver scalable analytics solutions.

Lead the AI Platform team to build and scale ML and agent runtimes, including data/model enrichments, orchestration, observability, evaluation, and reliability. Set platform strategy, define standards, prioritize cross-functional work, and grow engineers while balancing velocity, security, and operational rigor for mission-critical defense applications.