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You’ll analyze business needs for an Agentic AI Platform proof-of-concept, align stakeholders, document requirements, and prepare executive recommendations to guide the implementation approach.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital commerce setting using Python, SQL, and MLOps.
Build AI-powered automation for cybersecurity governance, transforming manual firewall policy and compliance workflows into scalable, auditable code using Policy-as-Code and AI agents.
Designs, automates, and maintains a large-scale Cloudera Hadoop data platform for financial analytics using Ansible, SQL, and Python.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital-commerce setting using Python, SQL, and MLOps pipelines.
Build and maintain data pipelines and ETL processes using Python and AWS services to feed data warehouses and lakes for a global restaurant group.
Build and scale Unity Vector’s online ML inference platform, optimizing model serving for low-latency, high-reliability production systems using PyTorch, Triton, Kubernetes, and Ray.
Lead a team to design and build scalable cloud data pipelines and platforms using Snowflake, AWS, and Airflow to power enterprise analytics and AI workloads.
Our team is intentionally seeking builders and enablers - professionals who combine deep operational expertise with intellectual curiosity, sound business judgment, and a passion for building better ways of working.…
Senior role redesigning enterprise workflows and integrating AI, automation, and data to reinvent healthcare tech operations and drive scalable business outcomes.
Builds statistical models and pipelines to calibrate sensors and detect methane leaks, turning noisy sensor data into reliable insights for production deployment.
Design and deploy enterprise-grade AI systems—including LLMs, vision models, and robotics—from research to production, ensuring scalability, security, and alignment with business goals.
Design and deploy enterprise-grade AI systems—from LLMs and multimodal models to robotics and edge AI—guiding the full lifecycle from research to production while aligning with business goals and governance.
Designs and maintains scalable data pipelines and warehouses for a large bank, using Python, SQL, and ETL tools to ensure clean, reliable enterprise data.
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.
Build and deploy LLM-powered assistants, RAG apps, and AI agents on enterprise platforms like ChatGPT Enterprise and AWS Bedrock, using Python, TypeScript, React, and cloud-native tooling.
About this role: Wells Fargo is seeking a Technology Operations Senior Manager. In this role, you will: Manage and develop teams of individual contributors and managers in roles with moderate complexity and risk in…
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Build and scale backend services, APIs, and data pipelines that process, de-identify, and deliver regulated healthcare data for AI-enabled workflows using cloud-native tools.
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